Mon 2 FebDisplayed time zone: Hobart change
07:45 - 16:00 | |||
09:50 - 11:10 | |||
09:50 20mTalk | Binary Compatible Critical Section DelegationBest Paper Award Main Conference DOI | ||
10:10 20mTalk | Hapax Locks: Scalable Value-Based Mutual Exclusion Main Conference DOI | ||
10:30 20mTalk | Fixing Non-blocking Data Structures for Better Compatibility with Memory Reclamation Schemes Main Conference DOI | ||
10:50 20mTalk | Multiverse: Transactional Memory with Dynamic Multiversioning Main Conference Gaetano Coccimiglio University of Waterloo, Trevor Brown University of Waterloo, Srivatsan Ravi University of Southern California DOI | ||
11:10 - 11:30 | |||
11:10 20mCoffee break | Break HPCA/CGO/PPoPP/CC Catering | ||
11:30 - 12:50 | |||
11:30 20mTalk | Rethinking Thread Scheduling under Oversubscription: A User-Space Framework for Coordinating Multi-runtime and Multi-process WorkloadsBest Paper Nominee Main Conference DOI | ||
11:50 20mTalk | Waste-Efficient Work Stealing Main Conference Kyle Singer Massachusetts Institute of Technology, Kunal Agrawal Washington University in St. Louis, TB Schardl Massachusetts Institute of Technology DOI | ||
12:10 20mTalk | DiggerBees: Depth First Search Leveraging Hierarchical Block-Level Stealing on GPUs Main Conference Yuyao Niu Barcelona Supercomputing Center, Yuechen Lu China University of Petroleum-Beijing, Weifeng Liu China University of Petroleum-Beijing, Marc Casas Barcelona Supercomputing Center DOI | ||
12:30 20mTalk | PANA: A Fine-Grained Runtime-Adaptive Load Balancing for Parallel SpMV on Multicore CPUs Main Conference Haodong Bian Tsinghua University, Youhui Zhang Tsinghua University, Xiang Fei Tsinghua University, Jianqiang Huang Qinghai University, Xiaoying Wang Qinghai University DOI | ||
12:50 - 14:10 | |||
12:50 80mLunch | Lunch HPCA/CGO/PPoPP/CC Catering | ||
14:10 - 15:30 | |||
14:10 20mTalk | UFO Trees: Practical and Provably-Efficient Parallel Batch-Dynamic TreesBest Paper Nominee Main Conference Quinten De Man University of Maryland, Atharva Sharma University of Maryland, Kishen N Gowda University of Maryland, Laxman Dhulipala University of Maryland, College Park DOI | ||
14:30 20mTalk | Sharded Elimination and Combining for Highly-Efficient Concurrent Stacks Main Conference Ajay Singh FORTH ICS, Nikos Metaxakis , Panagiota Fatourou FORTH ICS and University of Crete, Greece DOI | ||
14:50 20mTalk | Concurrent Balanced Augmented Trees Main Conference Evan Wrench University of British Columbia, Ajay Singh FORTH ICS, Younghun Roh Massachusetts Institute of Technology, Panagiota Fatourou University of Crete & FORTH, Siddhartha Jayanti Google Research, Eric Ruppert York University, Yuanhao Wei University of British Columbia DOI | ||
15:10 20mTalk | Parallel Dynamic Spatial Indexes Main Conference Ziyang Men University of California, Riverside, Bo Huang University of California, Riverside, Yan Gu University of California, Riverside, Yihan Sun University of California, Riverside DOI | ||
15:30 - 15:50 | |||
15:30 20mCoffee break | Break HPCA/CGO/PPoPP/CC Catering | ||
15:50 - 17:10 | GPU and Heterogeneous ComputingMain Conference at Pyrmont Chair(s): Frank Mueller North Carolina State University, USA | ||
15:50 20mTalk | PRISM: An Efficient GPU-Based Lossy Compression Framework for Progressive Data Retrieval with Multi-Level InterpolationBest Paper Nominee Main Conference Bing Lu Institute of Computing Technology of Chinese Academy of Sciences, Zedong Liu University of Chinese Academy of Sciences, Hairui Zhao Jilin University, Dejun Luo University of Chinese Academy of Sciences, Wenjing Huang University of Chinese Academy of Sciences, Yida Gu University of Chinese Academy of Sciences, Jinyang Liu University of Houston, Guangming Tan University of Chinese Academy of Sciences, Dingwen Tao Institute of Computing Technology, Chinese Academy of Sciences DOI | ||
16:10 20mTalk | Dynamic Detection of Inefficient Data Mapping Patterns in Heterogeneous OpenMP Applications Main Conference Luke Marzen Iowa State University, Junhyung Shim Iowa State University, Ali Jannesari Iowa State University DOI | ||
16:30 20mTalk | Root-Down Exposure for Maximal Clique Enumeration on GPUs Main Conference DOI | ||
16:50 20mTalk | ROME: Maximizing GPU Efficiency for All-Pairs Shortest Path via Taming Fine-Grained Irregularities Main Conference Weile Luo The Hong Kong University of Science and Technology, Guangzhou, Yuhan Chen The Hong Kong University of Science and Technology, Guangzhou, Xiangrui Yu The Hong Kong University of Science and Technology, Guangzhou, Qiang Wang Harbin Institute of Technology, Shenzhen, Ruibo Fan The Hong Kong University of Science and Technology, Guangzhou, Hongyuan Liu Stevens Institute of Technology, Xiaowen Chu The Hong Kong University of Science and Technology, Guangzhou DOI | ||
17:30 - 19:00 | Business MeetingMain Conference at Cronulla Chair(s): Tony Hosking Australian National University, Madan Musuvathi Microsoft Research, Kenjiro Taura The University of Tokyo | ||
17:30 90mMeeting | PPoPP Business Meeting Main Conference | ||
Tue 3 FebDisplayed time zone: Hobart change
08:15 - 16:00 | |||
09:50 - 11:10 | Stencil and Sparse Matrix ComputationMain Conference at Pyrmont Chair(s): Shoaib Kamil Adobe Research | ||
09:50 20mTalk | SPIDER: Unleashing Sparse Tensor Cores for Stencil Computation via Strided Swapping Main Conference Qiqi Gu Shanghai Jiao Tong University, Chenpeng Wu Shanghai Jiao Tong University, Heng Shi , Jianguo Yao Shanghai Jiao Tong University; Shanghai Enflame Technology DOI | ||
10:10 20mTalk | ASM-SpMM: Unleashing the Potential of Arm SME for Sparse Matrix Multiplication Acceleration Main Conference Jiazhi Jiang Sun Yat-sen University, Xijia Yao Sun Yat-sen University, Jiayu Chen Sun Yat-sen University, jinhui wei Sun Yat-sen University, Dan Huang , Yutong Lu Sun Yat-sen University DOI | ||
10:30 20mTalk | Exploiting Efficient Mapping and Pipelined Execution for Accelerating SpMV on Tensor Cores Main Conference Kaige Zhang Beihang University, Hailong Yang Beihang University, Xin You Beihang University, Tianyu Feng Beihang University, Yufan Xu Independent Researcher, Zhongzhi Luan Beihang University, Yi Liu Beihang University, Depei Qian Beihang University DOI | ||
10:50 20mTalk | VDHA: Vector-Driven Hash Aggregation for Sparse Matrix-Sparse Vector Multiplication on GPUs Main Conference Yuchen Li Tsinghua University, Zhe Pan Tsinghua University, Peng Qu Tsinghua University, Youhui Zhang Tsinghua University DOI | ||
11:10 - 11:30 | |||
11:10 20mCoffee break | Break HPCA/CGO/PPoPP/CC Catering | ||
11:30 - 12:50 | Mixed Precision and QuantizationMain Conference at Balmoral Chair(s): Dingwen Tao Institute of Computing Technology, Chinese Academy of Sciences | ||
11:30 20mTalk | RoMeo: Mitigating Dual-dimensional Outliers with Rotated Mixed Precision Quantization Main Conference Qihao Zhang Tsinghua University, MingLiang Tang Tsinghua University, Mingshu Zhai Tsinghua University, Kinman Lei Tsinghua University, Jidong Zhai Tsinghua University DOI | ||
11:50 20mTalk | High-Throughput Non-Uniformly Quantized 3-bit LLM Inference Main Conference YuAng Chen Chinese University of Hong Kong, Wenqi Zeng Hong Kong University of Science and Technology, Jeffrey Xu Yu Chinese University of Hong Kong DOI | ||
12:10 20mTalk | JanusQuant: Accurate and Efficient 2-bit KV Cache Quantization for Long-Context Inference Main Conference Chengyu Sun Wuhan University, Yaqi Xia Wuhan University, Hulin Wang , Donglin Yang Nvidia Corporation, Xiaobo Zhou University of Macau, Dazhao Cheng WuHan University DOI | ||
12:30 20mTalk | HierCut: Enabling 16-bit Format Mixed Precision for Molecular Dynamics through Hierarchical CutoffBest Artifact Award Main Conference zeyu song Tsinghua University, Lin Gan Tsinghua University, Xiaohui Duan Shandong University, Jiayu Fu Tsinghua University, Zhengrui Li Tsinghua University, Yinuo Wang Tsinghua University, Guangzhao Li Chinese Academy of Sciences, Guangwen Yang Tsinghua University DOI | ||
11:30 - 12:50 | Cluster and Cloud ComputingMain Conference at Pyrmont Chair(s): Ruslan Nikolaev Pennsylvania State University | ||
11:30 20mTalk | Cacheman: A Comprehensive Last-Level Cache Management System for Multi-tenant Clouds Main Conference Xiaokang Hu Alibaba Cloud Computing, Yuchao Cao Alibaba Cloud Computing, Naixuan Guan Alibaba Cloud Computing, Yifan Wu Alibaba Cloud Computing, Xishi Qiu Alibaba Cloud Computing, Shengdong Dai Alibaba Cloud Computing, Ben Luo Alibaba Cloud Computing, Sanchuan Cheng Alibaba Cloud Computing, Fudong Qiu Alibaba Cloud Computing, Yibin Shen Alibaba Cloud, Jiesheng Wu Alibaba Cloud Computing DOI | ||
11:50 20mTalk | zBuffer: Zero-Copy and Metadata-Free Serialization for Fast RPC with Scatter-Gather Reflection Main Conference Xiangyu Liu Xiamen University, Huiba Li Alibaba, Shun Gai Alibaba, Youmin Chen Shanghai Jiao Tong University, Yiming Zhang Xiamen University DOI | ||
12:10 20mTalk | Scaling GPU-to-CPU Migration for Efficient Distributed Execution on CPU Clusters Main Conference DOI | ||
12:30 20mTalk | Trojan Horse: Aggregate-and-Batch for Scaling Up Sparse Direct Solvers on GPU ClustersBest Paper Nominee Main Conference Yida Li China University of Petroleum-Beijing, Siwei Zhang China University of Petroleum-Beijing, Yiduo Niu China University of Petroleum-Beijing, Yang Du China University of Petroleum-Beijing, Qingxiao Sun China University of Petroleum-Beijing, Zhou Jin China University of Petroleum-Beijing, Weifeng Liu China University of Petroleum-Beijing DOI | ||
12:50 - 14:10 | |||
12:50 80mAwards | HPCA Awards Lunch HPCA/CGO/PPoPP/CC Catering | ||
12:50 - 14:10 | |||
12:50 80mLunch | Lunch HPCA/CGO/PPoPP/CC Catering | ||
14:10 - 15:30 | |||
14:10 20mTalk | COCCL: A Collective Communication Library Supporting Easy Integration and Configuration of Customized Compression for Scalable LLM Training Main Conference Xingchen Liu University of Chinese Academy of Sciences, Haoran Kong Chinese University of Hong Kong, Shenzhen, Hairui Zhao Jilin University, Shengkai Lyu University of Chinese Academy of Sciences, Zheng Wei University of Chinese Academy of Sciences, Man Liu University of Chinese Academy of Sciences, Xingjian Tian University of Chinese Academy of Sciences, Liyang Zhao University of Chinese Academy of Sciences, Zhuohan Chen University of Chinese Academy of Sciences, Fakang Wang Ant Group, Zizhong Chen Chinese University of Hong Kong, Shenzhen, Zhan Wang University of Chinese Academy of Sciences, Guangming Tan University of Chinese Academy of Sciences, Dingwen Tao Institute of Computing Technology, Chinese Academy of Sciences DOI | ||
14:30 20mTalk | Elastor: Elastic and Efficient Model Partitioning and Checkpointing for Fault-Tolerant Distributed Training Main Conference Xuanyu Wang Peking University, Fangcheng FU Shanghai Jiao Tong University, Haoyang Li Peking University, Hao Ge Peking University, Sheng Lin Peking University, Jiawen Niu Peking University, Bin Cui Peking University DOI | ||
14:50 20mTalk | HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Main Conference Geng Zhang National University of Singapore, Shenggan Cheng National University of Singapore, Xuanlei Zhao National University of Singapore, Ziming Liu , Yang You National University of Singapore DOI | ||
15:10 20mTalk | CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model TrainingBest Paper Nominee Main Conference Yida Gu University of Chinese Academy of Sciences, Fakang Wang AntGroup, Jianhao Fu AntGroup, Zhenhang Sun Ant Group, Qianyu Zhang Ant Group, Hairui Zhao Jilin University, Xingchen Liu University of Chinese Academy of Sciences, Yang Tian Ant Group, Wenjing Huang University of Chinese Academy of Sciences, Zedong Liu University of Chinese Academy of Sciences, Yifan Chen Ant Group, Jinwu Yang University of Chinese Academy of Sciences, Yueyuan Zhou University of Chinese Academy of Sciences, Qian Zhao Ant Group, Haoxu Li University of Chinese Academy of Sciences, Tao Wang Ant Group, Feng Yu Ant Group, Zhan Wang University of Chinese Academy of Sciences, Guangming Tan University of Chinese Academy of Sciences, Dingwen Tao Institute of Computing Technology, Chinese Academy of Sciences DOI | ||
14:10 - 15:30 | |||
14:10 20mTalk | Pipelonk: Accelerating End-to-End Zero-Knowledge Proof Generation on GPUs for PLONK-Based Protocols Main Conference Zhiyuan Zhang Shandong University, Yanxin Cai Shandong University, Wenhao Yin Shandong University, Xueyu Wu The University of Hong Kong, Yi Wang Shenzhen University, Lei Ju Shandong University, Zhuoran Ji Shandong University DOI | ||
14:30 20mTalk | ParDiff: Efficiently Parallelizing Reverse-Mode Automatic Differentiation with Direct Indexing Main Conference Shuhong Huang Tsinghua University, Shizhi Tang Qingcheng.AI, Yuan Wen University of Aberdeen, Huanqi Cao Tsinghua University, Ruibai Tang Tsinghua University, yidong chen , Jiping Yu Tsinghua University, Yang Li Lenovo Research, Chao Jiang Lenovo Research, Limin Xiao Lenovo Research, Jidong Zhai Tsinghua University DOI | ||
14:50 20mTalk | Faster and Cheaper: Pushing the Sequence Alignment Throughput with Commercial CPUs Main Conference Zhonghai Zhang Institute of Computing Technology, Chinese Academy of Sciences / University of Chinese Academy of Sciences, Yewen Li The Hong Kong University of Science and Technology, Ke Meng Chinese Academy of Sciences, Chunming Zhang Institute of Computing Technology, Chinese Academy of Sciences, Guangming Tan University of Chinese Academy of Sciences DOI | ||
15:10 20mTalk | PIM-zd-tree: A Fast Space-Partitioning Index Leveraging Processing-in-Memory Main Conference Yiwei Zhao Carnegie Mellon University, Hongbo Kang Tsinghua University, Ziyang Men University of California, Riverside, Yan Gu University of California, Riverside, Guy E. Blelloch Carnegie Mellon University, Laxman Dhulipala University of Maryland, College Park, Charles McGuffey Reed College, Phil Gibbons Carnegie Mellon University DOI | ||
15:30 - 15:50 | |||
15:30 20mCoffee break | Break HPCA/CGO/PPoPP/CC Catering | ||
15:50 - 17:10 | |||
15:50 20mTalk | BEEMS: Boosting Machine Vision Efficiency via Computation Graph-Based Memory Smoothing Main Conference Hanjing Shen Shanghai Jiao Tong University, Fangxin Liu Shanghai Jiao Tong University, Jian Liu Beijing University of Aeronautics and Astronautics, Li Jiang Shanghai Jiaotong University, Haibing Guan Shanghai Jiao Tong University DOI | ||
16:10 20mTalk | Laser: Unlocking Layer-Level Scheduling for Efficient Multi-SLO LLM Serving Main Conference Jianxiong Liao Sun Yat-sen University, Quanxing Dong Sun Yat-sen University, Yunkai Liang Sun Yat-sen University, Zhi Zhou Sun Yat-sen University, Xu Chen Sun Yat-sen University DOI | ||
16:30 20mTalk | MixFusion: A Patch-Level Parallel Serving System for Mixed-Resolution Diffusion Models Main Conference DOI | ||
16:50 20mTalk | ChituDiffusion: A Data-Characteristic-Aware Serving System for Diffusion Models Main Conference Chengzhang Wu Tsinghua University, Liyan Zheng Tsinghua University, Haojie Wang Tsinghua University, Kezhao Huang Tsinghua University, Zixuan Ma Tsinghua University, Dong Dong , Jidong Zhai Tsinghua University DOI | ||
15:50 - 17:10 | Graphs and Graph Neural NetworksMain Conference at Pyrmont Chair(s): Ali Jannesari Iowa State University | ||
15:50 20mTalk | ElasGNN: An Elastic Training Framework for Distributed GNN Training Main Conference Siqi Wang Beihang University, Hailong Yang Beihang University, Pengbo Wang Beihang University, Hongliang Cao Beihang University, Yufan Xu Independent Researcher, Xuezhu Wang Beihang University, Zhongzhi Luan Beihang University, Yi Liu Beihang University, Depei Qian Beihang University DOI | ||
16:10 20mTalk | APERTURE: Algorithm-System Co-optimization for Temporal Graph Network Inference Main Conference Yiqing Wang Beihang University, Hailong Yang Beihang University, Enze Yu Beihang University, Qingxiao Sun Beihang University, Kejie Ma Beihang University, Kaige Zhang Beihang University, chenhao xie Beihang University, Depei Qian Beihang University DOI | ||
16:30 20mTalk | TAC: Cache-Based System for Accelerating Billion-Scale GNN Training on Multi-GPU Platform Main Conference Zhiqiang Liang , Hongyu Gao , Fang Liu Computer Network Information Center, Chinese Academy of Sciences,University of Chinese Academy of Sciences, Jue Wang Computer Network Information Center, Chinese Academy of Sciences;University of Chinese Academy of Sciences, Xingguo Shi University of Chinese Academy of Sciences, Juyu Gu University of Chinese Academy of Sciences, Peng Di Ant Group & UNSW, San Li University of Chinese Academy of Sciences, Lei Tang University of Chinese Academy of Sciences, Chunbao Zhou University of Chinese Academy of Sciences, Lian Zhao University of Chinese Academy of Sciences, yangang wang University of Chinese Academy of Sciences, Xuebin Chi University of Chinese Academy of Sciences DOI | ||
16:50 20mTalk | DTMiner: A Data-Centric System for Efficient Temporal Motif Mining Main Conference hou yinbo Huazhong University of Science and Technology, Hao Qi Huazhong University of Science and Technology, Ligang He University of Warwick, Jin Zhao Huazhong University of Science and Technology, Yu Zhang School of Computer Science and Technology, Huazhong University of Science and Technology, Hui Yu Hong Kong University of Science and Technology, Longlong Lin Southwest University, Lin Gu Huazhong University of Science and Technology, Wenbin Jiang Huazhong University of Science and Technology, XIAOFEI LIAO Huazhong University of Science and Technology, Hai Jin Huazhong University of Science and Technology DOI | ||
17:15 - 18:15 | Optimizing TransformersMain Conference at Pyrmont Chair(s): Shaoshuai Zhang University of Electronic Science and Technology of China | ||
17:15 20mTalk | FlashAttention-T: Towards Fully Tensorized Attention by Exploiting Tensor-Vector Parallelism Main Conference Jianxing Xu University of Science and Technology of China, Yuanbo Wen , Jun Bi Chinese Academy of Sciences, Ruibai Xu University of Science and Technology of China, Guanglin Xu Chinese Academy of Sciences, Rui Zhang Chinese Academy of Sciences, Wei Li Chinese Academy of Sciences, Ling Li Institute of Software, Chinese Academy of Sciences, Tianshi Chen Cambricon Technologies, Qi Guo Chinese Academy of Sciences, Yunji Chen Chinese Academy of Sciences DOI | ||
17:35 20mTalk | Accelerating Sparse Transformer Inference on GPU Main Conference Wenhao Dai China University of Petroleum-Beijing, Haodong Deng China University of Petroleum, Mengfei Rong China University of Petroleum, Xinyu Yang Beihang University, Hongyu Liu Baidu Inc., Fangxin Liu Shanghai Jiao Tong University, Hailong Yang Beihang University, Qianwen Cao China University of Petroleum, Qingxiao Sun Beihang University DOI | ||
17:55 20mTalk | MetaAttention: A Unified and Performant Attention Framework Across Hardware Backends Main Conference Feiyang Chen Shanghai Jiao Tong University, Yu Cheng Peking University, Lei Wang Peking University, Yuqing Xia Microsoft Research, Ziming Miao Microsoft Research, Lingxiao Ma Microsoft Research, Fan Yang Microsoft Research Asia, Jilong Xue Microsoft Research, Zhi Yang Peking University, Mao Yang Microsoft Research, Xingda Wei Shanghai Jiao Tong University, Haibo Chen Shanghai Jiao Tong University DOI | ||
18:30 - 21:30 | |||
18:30 3hSocial Event | Excursion HPCA/CGO/PPoPP/CC Catering | ||
Wed 4 FebDisplayed time zone: Hobart change
08:15 - 10:00 | |||
09:50 - 11:10 | Matrix and Linear Algebra AlgorithmsMain Conference at Pyrmont Chair(s): William S. Moses University of Illinois Urbana-Champaign | ||
09:50 20mTalk | Towards Singular Value Decomposition for Rank-Deficient Matrices: An Efficient and Accurate Algorithm on GPU Architectures Main Conference Lu Shi University of Electronic Science and Technology of China, WeiWei Xu Nanjing University of Information Science and Technology, Shaoshuai Zhang University of Electronic Science and Technology of China DOI | ||
10:10 20mTalk | A Diagonal Block Memory-Aware Polynomial Preconditioner for Linear and Eigenvalue Solvers Main Conference Xiaojian Yang National University of Defense Technology, Yuhui Ni National University of Defense Technology, Fan Yuan Xiangtan University, Shengguo Li National University of Defense Technology, Dezun Dong NUDT, xuchuanfu National University of Defense Technology, Haipeng Jia Jia, Jie Liu National University of Defense Technology DOI | ||
10:30 20mTalk | A Distributed Matrix-Block-Vector Multiplication in Presence of System Performance Variability Main Conference Yuchen Ma College of William & Mary, Bin Ren College of William & Mary, Andreas Stathopoulos College of William & Mary DOI | ||
10:50 20mTalk | Characterizing Matrix Multiplication Units across General Parallel Patterns in Scientific Computing Main Conference Yuechen Lu China University of Petroleum-Beijing, Hongwei Zeng , Marc Casas Barcelona Supercomputing Center, Weifeng Liu China University of Petroleum-Beijing DOI | ||
11:10 - 11:30 | |||
11:10 20mCoffee break | Break HPCA/CGO/PPoPP/CC Catering | ||
Accepted Papers
Call for Papers
31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
Co-located with HPCA, CGO, and CC
Sydney, Australia
PPoPP is the premier forum for leading work on all aspects of parallel and performance programming, including theoretical foundations, techniques, languages, compilers, runtime systems, tools, applications, and practical experience. This symposium focuses on improving the programming productivity and performance engineering of all concurrent and parallel systems—multicore, multi-threaded, heterogeneous, clustered, and distributed systems, grids, accelerators such as ASICs, GPUs, FPGAs, data centers, clouds, large scale machines, and quantum computers. PPoPP is also interested in new and emerging parallel workloads and applications, such as artificial intelligence and large-scale scientific/enterprise workloads.
Important dates
- Full paper submission: Monday, September 1st, 2025
- Author response period:
October 27 - 29, 2025 (Mon - Wed)November 2 - 4, 2025 (Sun - Tue) - Author notification: Monday, November 10th, 2025
- Artifact submission to AE committee: Monday,
November 17th, 2025November 24th, 2025 - Artifact notification by AE committee: Monday, January 5th, 2026
- Final paper due: Friday, January 9, 2026 (TBC)
The submissions website is now live.
Scope
Specific topics of interest include (but are not limited to):
- Languages, compilers, and runtime systems for parallel programs
- Parallel programming frameworks and domain-specific languages
- Parallel programming for emerging hardware, including AI accelerators, processor-in-memory, programmable logic, non-volatile memory technologies, and quantum computers
- High-performance libraries
- Parallel programming for deep memory hierarchies including nonvolatile memory
- Parallel algorithms
- Parallel applications including scientific computing and enterprise workloads
- Artificial intelligence and machine learning for parallel systems, including their use in system design, optimization, and runtime decisions
- Development, analysis, or management tools
- Performance analysis, debugging and optimization
- Productivity tools for parallel systems
- Software engineering for parallel programs
- Parallel programming theory and models
- Formal analysis and verification
- Concurrent data structures
- Synchronization and concurrency control
- Fault tolerance for parallel systems
- Middleware for parallel systems
Papers should report on original research relevant to parallel programming and should contain enough background materials to make them accessible to the entire parallel programming research community. Papers describing experience should indicate how they illustrate general principles or lead to new insights; papers about parallel programming foundations should indicate how they relate to practice. PPoPP submissions will be evaluated based on their technical merit and accessibility. Submissions should clearly motivate the importance of the problem being addressed, compare to the existing body of work on the topic, and explicitly and precisely state the paper’s key contributions and results towards addressing the problem. Submissions should strive to be accessible both to a broad audience and to experts in the area.
Paper Submission
All submissions must be made electronically through the conference website and include an abstract (100–400 words), author contact information, the full list of authors and their affiliations. Full paper submissions must be in PDF format printable on both A4 and US letter-size paper.
All papers must be prepared in two-column ACM Conference Format, specifically the acmart document class (available here) with the sigplan option and 10-point font size. We recommend preparing your submission in Latex starting with the following template: https://ppopp26.sigplan.org/getImage/orig/ppopp-acmart-sigplanproc-template.tex. This template ensures that there are no line numbers and headers in the margins to avoid triggering HotCRP’s format checker. Refrain from squeezing additional space by tweaking the template above, e.g., by manipulating vertical space, reducing margins, line spacing, heading space, column separation, etc. Ensure that caption fonts are at least 9 pt and all fonts in figures and tables are at least 8 pt. Program chairs will inspect submissions using format checking tools and reserve the right to reject submissions that violate the formatting rules. If you would like to use Word or other Latex template, please ensure that your submission follows all the formatting guidelines. You may want to consult the official ACM information on the Master Article Template and related tools.
Papers should contain a maximum of 10 pages of text and figures, but NOT INCLUDING references. There is no page limit for references, and they must include the names of all authors (not et al.) and spell out the publication year and venue (and not simply point to the DOI link). Appendices are not allowed, but the authors may submit supplementary material, such as proofs or source code; all supplementary material must be in PDF or ZIP format. Looking at supplementary material is at the discretion of the reviewers.
Submission is double-blind, and authors will need to identify any potential conflicts of interest with PC and Extended Review Committee members, as defined by the ACM SIGPLAN review policy.
To facilitate this process, submissions should not reveal the identity of the authors in any way. Authors should leave out author names and affiliations from the body of their submission. They should also ensure that any references to authors’ own related work should be in the third person (e.g., not “We build on our previous work …” but rather “We build on the work of …”). The purpose of this process is to help the PC and external reviewers come to an initial judgment about the paper without bias, not to make it impossible for them to discover the authors if they were to try. Nothing should be done in the name of anonymity that weakens the submission or makes the job of reviewing the paper more difficult. In particular, important background references should not be omitted or anonymized. In addition, authors should feel free to disseminate their ideas or draft versions of their papers as they normally would. For instance, authors may post drafts of their papers on the web or give talks on their research ideas. Authors with further questions on double-blind reviewing are encouraged to contact the Program Chairs by email.
To facilitate fair and unbiased reviews for all submissions, PPoPP 2026 may utilize the Toronto Paper Matching System (TPMS) to assign papers to reviewers. From the authors’ perspective, this decision means that the submissions may be uploaded to TPMS.
Papers may be resubmitted to the submission site multiple times up until the deadline, but the last version submitted before the deadline will be the version reviewed. Papers that exceed the length requirement, which deviate from the expected format, or that are submitted late will be rejected.
All submissions that are not accepted for regular presentations will be automatically considered for posters. Two-page summaries of accepted posters will be included in the conference proceedings.
To allow reproducibility, we encourage authors of accepted papers to submit their papers for Artifact Evaluation (AE). The AE process begins after the acceptance notification and is run by a separate committee whose task is to assess how the artifacts support the work described in the papers. Artifact evaluation is voluntary and will not affect paper acceptance but will be taken into consideration when selecting papers for awards. Papers that go through the AE process successfully will receive at least one ACM reproducibility badge, printed on the published version. More information will be posted on the AE website.
Deadlines expire at midnight anywhere on Earth (AoE).
Publication Date
The titles of all accepted papers are typically announced shortly after the author notification date (late November 2025). Note, however, that this is not the official publication date. The official publication date is the date the proceedings are made available in the ACM Digital Library. ACM will make the proceedings available via the Digital Library, up to 2 weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.
ACM Publications Policies
By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.
ACM is transitioning in 2026 to 100% Open Access for all ACM publications including those from ACM sponsored conferences. You can find an FAQ here: Open Access Model for ACM and SIG Sponsored Conferences: Frequently Asked Questions and more information here: Open Access Publication & ACM. Authors must be aware that the Article Processing Charges listed in the page applies to all accepted papers. For any questions regarding Open Access, please contact dl-info@hq.acm.org.
Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.
Important update on ACM’s new open access publishing model for 2026 ACM Conferences!
Starting January 1, 2026, ACM will fully transition to Open Access. All ACM publications, including those from ACM-sponsored conferences, will be 100% Open Access. Authors will have two primary options for publishing Open Access articles with ACM: the ACM Open institutional model or by paying Article Processing Charges (APCs). With over 1,800 institutions already part of ACM Open, the majority of ACM-sponsored conference papers will not require APCs from authors or conferences (currently, around 70-75%).
Authors from institutions not participating in ACM Open will need to pay an APC to publish their papers, unless they qualify for a financial or discretionary waiver. To find out whether an APC applies to your article, please consult the list of participating institutions in ACM Open and review the APC Waivers and Discounts Policy. Keep in mind that waivers are rare and are granted based on specific criteria set by ACM.
Understanding that this change could present financial challenges, ACM has approved a temporary subsidy for 2026 to ease the transition and allow more time for institutions to join ACM Open. The subsidy will offer:
- $250 APC for ACM/SIG members
- $350 for non-members
This represents a 65% discount, funded directly by ACM. Authors are encouraged to help advocate for their institutions to join ACM Open during this transition period.
This temporary subsidized pricing will apply to all conferences scheduled for 2026.
| Mon 10 Nov 2025 Author Notification |
| Sun 2 - Tue 4 Nov 2025 Author Response |
| Mon 1 Sep 2025 Submission Deadline |
Madan MusuvathiProgram Co-Chair
Microsoft Research
United States
Kenjiro TauraProgram Co-Chair
The University of Tokyo
Japan
Gagan Agrawal
University of Georgia
United States
Swarnendu Biswas
IIT Kanpur
India
Trevor Brown
University of Waterloo
Marc Casas
Barcelona Supercomputing Center
Wenguang Chen
Tsinghua University; Pengcheng Laboratory
China
Jongouk Choi
University of Central Florida
United States
Huimin Cui
Institute of Computing Technology, Chinese Academy of Sciences
China
Maryam Mehri Dehnavi
University of Toronto & NVIDIA
Canada
Laxman Dhulipala
University of Maryland, College Park
David Dice
Oracle Labs
Bernhard Egger
Seoul National University
South Korea
Pascal Felber
University of Neuchâtel
Switzerland
Michael Garland
NVIDIA
Michelle Goodstein
AWS
Ganesh Gopalakrishnan
University of Utah
United States
Yan Gu
University of California, Riverside
United States
Hui Guan
University of Massachusetts, Amherst
United States
Mary Hall
University of Utah
United States
Akihiro Hayashi
Georgia Institute of Technology
United States
Hiroshi Inoue
IBM Research - Tokyo
Japan
Weile Jia
Institute of Computing Technology, Chinese Academy of Sciences
China
Peng Jiang
The University of Iowa
United States
Shoaib Kamil
Adobe Research
Alex Kogan
Oracle Labs
United States
Nikita Koval
JetBrains
Netherlands
V Krishna Nandivada
IIT Madras
Milind Kulkarni
Purdue University
United States
Doug Lea
State University of New York (SUNY) Oswego
United States
Jaejin Lee
Seoul National University, South Korea
Baolin Li
Netflix, Inc.
United States
Jiajia Li
North Carolina State University
United States
Kun Li
Microsoft Research
Shigang Li
Beijing University of Posts and Telecommunications
China
Jinyang Liu
University of Houston
Andrew Lumsdaine
RelationalAI and University of Washington
United States
Wenjing Ma
Chinese Academy of Sciences
China
Gabriele Mencagli
University of Pisa, Italy
Italy
Charith Mendis
University of Illinois at Urbana-Champaign
United States
Rupesh Nasre
IIT Madras, India
Dimitrios Nikolopoulos
Virginia Tech
United States
Sreepathi Pai
University of Rochester
United States
Roberto Palmieri
Lehigh University
United States
Marina Papatriantafilou
Chalmers University of Technology
Sweden
Ivy Bo Peng
KTH Royal Institute of Technology
Sweden
Cynthia Phillips
Sandia National Laboratories
United States
Louis-Noël Pouchet
Colorado State University
United States
Jie Ren
William & Mary
United States
Martin Schulz
Technical University of Munich
Germany
Michael Scott
University of Rochester
United States
Gal Sela
EPFL, Switzerland
Elliott Slaughter
SLAC National Accelerator Laboratory
Kirshanthan Sundararajah
Virginia Tech
United States
Adriana Szekeres
Microsoft Research
Kanat Tangwongsan
Mahidol University International College
Dingwen Tao
Institute of Computing Technology, Chinese Academy of Sciences
China
Sean Treichler
NVIDIA
United States
Viktor Vafeiadis
MPI-SWS
Germany
Yuke Wang
Rice University
United States
Mingyu Wu
Shanghai Jiao Tong University
China
Yufan Xu
Uber Technologies
Wei Xue
Department of Computer Science and Technology, Tsinghua University
China
Lishan Yang
George Mason University
United States
Xizhe Yin
Siemens EDA
United States
Rio Yokota
Institute of Science Tokyo
Shaoshuai Zhang
University of Electronic Science and Technology of China
Yunquan Zhang
Institute of Computing Technology at Chinese Academy of Sciences, China
Zhijia Zhao
University of California at Riverside
Sandhya Dwarkadas
University of Virginia
United States
Panagiota Fatourou
FORTH ICS and University of Crete, Greece
Rajiv Gupta
University of California at Riverside (UCR)
United States
Tim Harris
OpenAI
United Kingdom
Myeongjae Jeon
POSTECH
Alexandra Jimborean
University of Murcia
Spain
Frank Mueller
North Carolina State University, USA
Xipeng Shen
North Carolina State University
United States
Julian Shun
MIT
Harsha Vardhan Simhadri
Microsoft Azure
India
Trevor Brown
University of Waterloo
Huimin Cui
Institute of Computing Technology, Chinese Academy of Sciences
China
Michael Garland
NVIDIA
Michelle Goodstein
AWS
Alex Kogan
Oracle Labs
United States
Kun Li
Microsoft Research
Andrew Lumsdaine
RelationalAI and University of Washington
United States
Rupesh Nasre
IIT Madras, India
Sreepathi Pai
University of Rochester
United States
Louis-Noël Pouchet
Colorado State University
United States
Gal Sela
EPFL, Switzerland
Elliott Slaughter
SLAC National Accelerator Laboratory
Mingyu Wu
Shanghai Jiao Tong University
China
Lishan Yang
George Mason University
United States
Xizhe Yin
Siemens EDA
United States