HPDC A

38 papers

YearTitle / Authors
2023AIIO: Using Artificial Intelligence for Job-Level and Automatic I/O Performance Bottleneck Diagnosis.
Bin Dong, Jean Luca Bez, Suren Byna
2023Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques.
Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur
2023Accelerating Sparse General Matrix-Matrix Multiplication for NVIDIA Volta GPU and Hygon DCU.
Zhuo Tian, Shuai Yang, Changyou Zhang
2023Allocation Policies Matter for Hybrid Memory Systems.
Adnan Maruf, Daniel Carlson, Ashikee Ghosh, Manoj Pravakar Saha, Janki Bhimani, Raju Rangaswami
2023Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications.
Wenqian Dong, Gokcen Kestor, Dong Li
2023COLTI: Towards Concurrent and Co-located DNN Training and Inference.
Jaiaid Mobin, Avinash Maurya, M. Mustafa Rafique
2023Closing the Performance Gap between Leveling and Tiering Compaction via Bundle Compaction.
Ruicheng Liu, Peiquan Jin, Xiaoliang Wang, Yongping Luo, Zhaole Chu, Yigui Yuan
2023Computing Everywhere, All at Once: Harnessing the Computing Continuum for Science.
Manish Parashar
2023Deconstructing Alibaba Cloud's Preemptible Instance Pricing.
Danielle Movsowitz-Davidow, Orna Agmon Ben-Yehuda, Orr Dunkelman
2023Design and Evaluation of GPU-FPX: A Low-Overhead tool for Floating-Point Exception Detection in NVIDIA GPUs.
Xinyi Li, Ignacio Laguna, Bo Fang, Katarzyna Swirydowicz, Ang Li, Ganesh Gopalakrishnan
2023Distributed Logical Timestamp Allocation for DBMS Concurrency Control on Many-core Machines.
Qingsheng Zhang, Chen Liang
2023Distributed Multi-agent Reinforcement Learning for Directional UAV Network Control.
Linsheng He, Jiamiao Zhao, Fei Hu
2023Early Exploration of Using ChatGPT for Log-based Anomaly Detection on Parallel File Systems Logs.
Chris Egersdoerfer, Di Zhang, Dong Dai
2023Efficient Algorithm Design of Optimizing SpMV on GPU.
Genshen Chu, Yuanjie He, Lingyu Dong, Zhezhao Ding, Dandan Chen, He Bai, Xuesong Wang, Changjun Hu
2023Efficient Execution of SpGEMM on Long Vector Architectures.
Valentin Le Fèvre, Marc Casas
2023FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs.
Shixun Wu, Yujia Zhai, Jiajun Huang, Zizhe Jian, Zizhong Chen
2023FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2023FlexLog: A Shared Log for Stateful Serverless Computing.
Dimitra Giantsidi, Emmanouil Giortamis, Nathaniel Tornow, Florin Dinu, Pramod Bhatotia
2023GEOtiled: A Scalable Workflow for Generating Large Datasets of High-Resolution Terrain Parameters.
Camila Roa, Paula Olaya, Ricardo M. Llamas, Rodrigo Vargas, Michela Taufer
2023GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching.
Avinash Maurya, M. Mustafa Rafique, Thierry Tonellot, Hussain J. AlSalem, Franck Cappello, Bogdan Nicolae
2023HM2: Efficient Host Memory Management for RDMA-Enabled Distributed Systems.
Chen Tang, Zhaole Chu, Peiquan Jin, Yongping Luo, Kuankuan Guo
2023Ilúvatar: A Fast Control Plane for Serverless Computing.
Alexander Fuerst, Abdul Rehman, Prateek Sharma
2023Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources.
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2023Let It Go: Relieving Garbage Collection Pain for Latency Critical Applications in Golang.
Junxian Zhao, Xiaobo Zhou, Sang-Yoon Chang, Chengzhong Xu
2023Leveraging Keys In Key-Value SSD for Production Workloads.
Manoj Pravakar Saha, Omkar Desai, Bryan S. Kim, Janki Bhimani
2023Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters.
Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park
2023Mixed Modality Workflows in TaskVine.
David Simonetti, Ben Tovar, Douglas Thain
2023Performance Optimization using Multimodal Modeling and Heterogeneous GNN.
Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo César, Anna Sikora, Ali Jannesari
2023ProPack: Executing Concurrent Serverless Functions Faster and Cheaper.
Rohan Basu Roy, Tirthak Patel, Richmond Liew, Yadu Nand Babuji, Ryan Chard, Devesh Tiwari
2023Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2023, Orlando, FL, USA, June 16-23, 2023
Ali Raza Butt, Ningfang Mi, Kyle Chard
2023RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.
Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
2023RHIK: Re-configurable Hash-based Indexing for KVSSD.
Manoj Pravakar Saha, Bryan S. Kim, Haryadi S. Gunawi, Janki Bhimani
2023Rapidgzip: Parallel Decompression and Seeking in Gzip Files Using Cache Prefetching.
Maximilian Knespel, Holger Brunst
2023Real-Time PageRank on Dynamic Graphs.
Scott Sallinen, Juntong Luo, Matei Ripeanu
2023Redundancy-Free High-Performance Dynamic GNN Training with Hierarchical Pipeline Parallelism.
Yaqi Xia, Zheng Zhang, Hulin Wang, Donglin Yang, Xiaobo Zhou, Dazhao Cheng
2023Streaming Task Graph Scheduling for Dataflow Architectures.
Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler
2023Studying Latency and Throughput Constraints for Geo-Distributed Data in the National Science Data Fabric.
Jakob Lüttgau, Heberth F. Martinez, Glenn Tarcea, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer
2023Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees.
Stephanie Brink, Michael McKinsey, David Böhme, Connor Scully-Allison, Ian Lumsden, W. Daryl Hawkins, Treece Burgess, Vanessa Lama, Jakob Lüttgau, Katherine E. Isaacs, Michela Taufer, Olga Pearce