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ACM International Symposium on High Performance Distributed Computing

HPDC

A

CORE rank

CORE rank (raw)

A

Fields of research

Distributed Computing and Systems Software · Computer Systems Engineering

Papers indexed

1,864

1992–2026

Best Systems and Networking conferencesBest Computer Systems Engineering conferences

Papers per year

1992106 peak2026

Most published authors

HPDC papers

1,864 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2026UniEP: Unified Expert-Parallel MegaKernel MoE for LLM Training.Size Zheng, Xuegui Zheng, Li-Wen Chang, Jidong Zhai
2026SIVF: GPU-Resident IVF Index for Streaming Vector Analytics.Dongfang Zhao
2026OPAL: On-demand Progressive Accelerated Scientific Lossy Compression.Longtao Zhang, Ruoyu Li, Zhuoxun Yang, Robert Underwood, Sheng Di, Daoce Wang, Jinyang Liu, Jiajun Huang, Franck Cappello, Kai Zhao
2026Krysha: Cost-Efficient Resource Orchestration for Geo-Distributed Serverless Microservices.Yuqiu Zhang, Hans-Arno Jacobsen
2026Scheduling Optimization of Distributed LLM Inference.Biyao Zhang, Weicong Chen, Vipin Chaudhary
2026Achieving 86% Peak GPU Throughput for Distributed QR Factorization.Ruiyi Zhan
2026Motivating Regime-Aware User-Profiles for Runtime Prediction in Large-Scale HPC Systems.Austin Yunker, Raj Kettimuthu
2026MoE-Lens: Towards the Hardware Limit of High-Throughput MoE LLM Serving Under Resource Constraints.Yichao Yuan, Lin Ma, Nishil Talati
2026Metis: Agentic Knowledge Synthesis for Explainable I/O Performance in HPC Systems.Karim Youssef, Sarah Neuwirth, Neeraj Rajesh, Hariharan Devarajan
2026Eliminating Python Overhead in Predictive Neural Compression: A Native C++/LibTorch Implementation of TEZip.Mina Yousef, Amarjit Singh, Kento Sato
2026PKAS: Predictive KVCache-Aware Scheduling for Faster LLM and Transformer Inferences.Jie Ye, Avinash Maurya, Krishna Teja Chitty-Venkata, Bogdan Nicolae, Anthony Kougkas, Xian-He Sun
2026Scalable Quantum Circuit Simulation via Circuit Cutting and FPGA Acceleration.Xiaokun Yang, Xinpeng Li, Jeremy W. Turner, Cameron D. DiSomma, Yunhe Feng, Xuechen Zhang, Vipin Chaudhary, Shuai Xu
2026TZ: Achieving High-Ratio Scientific Data Compression on GPUs with Global Data Decomposition.Zhuoxun Yang, Ruoyu Li, Amit N. Subrahmanya, Vishwas Rao, Sheng Di, Robert Underwood, Longtao Zhang, Jinyang Liu, Franck Cappello, Kai Zhao
2026CXLMemSim: Practical Performance Simulation and Characterization of CXL 3.0 Memory Systems.Yiwei Yang, Shri Vishakh Devanand, Brian Zhao, Yusheng Zheng, Pooneh Safayenikoo, Tanvir Ahmed Khan, Andi Quinn
2026FAME: A Framework for Accelerating Independent Multi-Agent Reinforcement Learning on Heterogeneous Platforms.Samuel Wiggins, Nikunj Gupta, Grace Zgheib, Mahesh A. Iyer, Viktor K. Prasanna
2026NCCLZ: Compression-Enabled GPU Collectives with Decoupled Quantization and Entropy Coding.Jiamin Wang, Zhijing Ye, Xiaodong Yu
2026Group-TopK: Optimizing Distributed Training on Edge Devices via Communication Compression.Yifan Wang, Xiaohui Peng, Haohao Ma, Hui Sun, Deke Guo, Boyu Diao
2026STAR: Decode-Phase Rescheduling for LLM Inference.Zhibin Wang, Zetao Hong, Xue Li, Zibo Wang, Shipeng Li, Qingkai Meng, Qing Wang, Chengying Huan, Rong Gu, Sheng Zhong, Chen Tian
2026NCCLZ: Compression-Enabled GPU Collectives with Decoupled Quantization and Entropy Coding.Jiamin Wang
2026Inkly: A Data-Informed and Context-Aware System for HPC Job Execution.Ryan Vargas, Andrew S. Tupper, AbdElRahman ElSaid, Damir Pulatov
2026Graph Acceleration Techniques for Sparse Transformers.Nathaniel Tomczak
2026A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States.Daran Sun, Bowen Kan, Haoquan Long, Hairui Zhao, Haoxu Li, Yicheng Liu, Pengyu Zhou, Ankang Feng, Wenjing Huang, Yida Gu, Zhenyu Li, Honghui Shang, Yunquan Zhang, Dingwen Tao, Ninghui Sun, Guangming Tan
2026GLANCED-IO: Taming I/O Optimization for Deep Learning at Scale.Ray A. O. Sinurat, William Nixon, Philip H. Carns, Huihuo Zheng, Sandeep Madireddy, Sam Foreman, Troy Arcomano, Robert B. Ross, Haryadi S. Gunawi, Hariharan Devarajan
2026Bridging Information Theory and Practice for Scientific Lossy Compression.Sujata Sinha, Sheng Di, Vishwas Rao, Robert Underwood, David Lenz, Zizhe Jian, Zhuoxun Yang, Kai Zhao, Lingjia Liu, Franck Cappello
2026Performance Analysis of Conveyors: Memory Dominates?Shubhendra Pal Singhal, Aaron Welch, Oscar R. Hernandez, Steve Poole, Akihiro Hayashi, Vivek Sarkar
1–25 of 1,864← PreviousNext →

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Other A*/A conferences filed under the same field of research.