default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID36th IPDPS 2022: Lyon, France
- 2022 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2022, Lyon, France, May 30 - June 3, 2022. IEEE 2022, ISBN 978-1-6654-8106-9
- Dhabaleswar K. Panda:
Challenges and Opportunities in Designing High-Performance and Scalable Middleware for HPC and AI: Past, Present, and Future. 1 - Joshua Dennis Booth:
HTS: A Threaded Multilevel Sparse Hybrid Solver. 2-12 - Han D. Tran
, Milinda Fernando, Kumar Saurabh, Baskar Ganapathysubramanian, Robert M. Kirby, Hari Sundar:
A scalable adaptive-matrix SPMV for heterogeneous architectures. 13-24 - Emmanuel Agullo, Marek Felsöci, Guillaume Sylvand:
Direct solution of larger coupled sparse/dense linear systems using low-rank compression on single-node multi-core machines in an industrial context. 25-35 - Niels Gleinig, Maciej Besta, Torsten Hoefler:
I/O-Optimal Cache-Oblivious Sparse Matrix-Sparse Matrix Multiplication. 36-46 - Vivek Bharadwaj, Aydin Buluç, James Demmel:
Distributed-Memory Sparse Kernels for Machine Learning. 47-58 - Minhyeok Kweun, Goeun Kim, Byungsoo Oh, Seongho Jung, Taegeon Um, Woo-Yeon Lee:
PokéMem: Taming Wild Memory Consumers in Apache Spark. 59-69 - Tongliang Li, Haixia Wang, Airan Shao, Dongsheng Wang:
SSB-Tree: Making Persistent Memory B+- Trees Crash-Consistent and Concurrent by Lazy-Box. 70-80 - Daniel Zahka, Ada Gavrilovska:
FAM-Graph: Graph Analytics on Disaggregated Memory. 81-92 - Bogdan Nicolae:
Scalable Multi-Versioning Ordered Key-Value Stores with Persistent Memory Support. 93-103 - Alexandru Uta, Bogdan Ghit, Ankur Dave, Jan S. Rellermeyer, Peter Boncz:
In-Memory Indexed Caching for Distributed Data Processing. 104-114 - Mark F. Adams, Dylan P. Brennan, Matthew G. Knepley, Peng Wang:
Landau collision operator in the CUDA programming model applied to thermal quench plasmas. 115-123 - Yi Ju, Amir Raoofy, Dai Yang, Erwin Laure, Martin Schulz:
Exploiting Reduced Precision for GPU-based Time Series Mining. 124-134 - Qihan Wang, Bin Ren, Jie Chen, Robert G. Edwards:
MICCO: An Enhanced Multi-GPU Scheduling Framework for Many-Body Correlation Functions. 135-145 - Diogo Marques, Rafael Campos, Sergio Santander-Jiménez, Zakhar Matveev, Leonel Sousa, Aleksandar Ilic:
Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study. 146-156 - Aditya Kashi, Pratik Nayak, Dhruva Kulkarni, Aaron Scheinberg, Paul Lin, Hartwig Anzt:
Batched sparse iterative solvers on GPU for the collision operator for fusion plasma simulations. 157-167 - Vibhor Dodeja, Mohammad Almasri, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu:
PARSEC: PARallel Subgraph Enumeration in CUDA. 168-178 - Alvaro Saiz, Pablo Prieto, Pablo Abad Fidalgo, José-Ángel Gregorio, Valentin Puente:
Top-Down Performance Profiling on NVIDIA's GPUs. 179-189 - Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath:
Scaling and Selecting GPU Methods for All Pairs Shortest Paths (APSP) Computations. 190-200 - Peter Yamout, Karim Barada, Adnan Jaljuli, Amer E. Mouawad, Izzat El Hajj:
Parallel Vertex Cover Algorithms on GPUs. 201-211 - Qihang Zhou, Xiaoqi Jia, Shengzhi Zhang, Nan Jiang, Jiayun Chen, Weijuan Zhang:
SecFortress: Securing Hypervisor using Cross-layer Isolation. 212-222 - Xinkai Wang, Chao Li, Lu Zhang, Xiaofeng Hou, Quan Chen, Minyi Guo:
Exploring Efficient Microservice Level Parallelism. 223-233 - Kien Trung Pham, Truong Thao Nguyen, Hiroshi Yamaguchi, Yutaka Urino, Michihiro Koibuchi:
Scalable Low-Latency Inter-FPGA Networks. 234-245 - Dan Chen, Hai Jin, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Qinggang Wang, Haifeng Liu, Haiheng He, Xiaofei Liao, Ran Zheng:
A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures. 246-257 - Mazen Al-Wadi, Rujia Wang, David Mohaisen, Clayton Hughes, Simon David Hammond, Amro Awad:
Minerva: Rethinking Secure Architectures for the Era of Fabric-Attached Memory Architectures. 258-268 - Daniel Allendorf, Ulrich Meyer, Manuel Penschuck, Hung Tran:
Parallel Global Edge Switching for the Uniform Sampling of Simple Graphs with Prescribed Degrees. 269-279 - Brian Kelley, Sivasankaran Rajamanickam:
Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening. 280-290 - András Strausz, Flavio Vella, Salvatore Di Girolamo, Maciej Besta, Torsten Hoefler:
Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching. 291-301 - Sebastian Lamm, Peter Sanders:
Communication-efficient Massively Distributed Connected Components. 302-312 - Bibek Bhattarai, H. Howie Huang:
Mnemonic: A Parallel Subgraph Matching System for Streaming Graphs. 313-323 - Jiuchen Shi, Jiawen Wang, Kaihua Fu, Quan Chen, Deze Zeng, Minyi Guo:
QoS-awareness of Microservices with Excessive Loads via Inter-Datacenter Scheduling. 324-334 - Daniel Nichols, Aniruddha Marathe, Kathleen Shoga, Todd Gamblin, Abhinav Bhatele:
Resource Utilization Aware Job Scheduling to Mitigate Performance Variability. 335-345 - Ben Tovar, Ben Lyons, Kelci Mohrman, Barry Sly-Delgado, Kevin Lannon, Douglas Thain:
Dynamic Task Shaping for High Throughput Data Analysis Applications in High Energy Physics. 346-356 - Lucas Leandro Nesi, Lucas Mello Schnorr, Arnaud Legrand:
Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast. 357-367 - Fahim Chowdhury, Francesco Di Natale, Adam Moody, Kathryn M. Mohror, Weikuan Yu:
DFMan: A Graph-based Optimization of Dataflow Scheduling on High-Performance Computing Systems. 368-378 - Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics. 379-389 - Haozhong Qiu, Chuanfu Xu, Dali Li, Haoyu Wang, Jie Li, Zheng Wang:
Parallelizing and Balancing Coupled DSMC/PIC for Large-scale Particle Simulations. 390-401 - Alexander Breuer, Alexander Heinecke:
Next-Generation Local Time Stepping for the ADER-DG Finite Element Method. 402-413 - Qinglei Cao, Rabab Alomairy, Yu Pei, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra:
A Framework to Exploit Data Sparsity in Tile Low-Rank Cholesky Factorization. 414-424 - Oliver Gebhard, Max Hahn-Klimroth, Dominik Kaaser, Philipp Loick:
On the Parallel Reconstruction from Pooled Data. 425-435 - Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
P-ckpt: Coordinated Prioritized Checkpointing. 436-446 - Akash Balasaheb Dhasade, Nevena Dresevic, Anne-Marie Kermarrec, Rafael Pires:
TEE-based decentralized recommender systems: The raw data sharing redemption. 447-458 - Robert Ernstbrunner, Viktoria Mayer, Wilfried N. Gansterer:
Accuracy vs. Cost in Parallel Fixed-Precision Low-Rank Approximations of Sparse Matrices. 459-469 - Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka:
Hybrid Workload Scheduling on HPC Systems. 470-480 - Yuguang Wang, Robbie Watling, Junqiao Qiu, Zhenlin Wang:
GSpecPal: Speculation-Centric Finite State Machine Parallelization on GPUs. 481-491 - Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Rob V. van Nieuwpoort:
Lightning: Scaling the GPU Programming Model Beyond a Single GPU. 492-503 - Johannes Doerfert, Atmn Patel, Joseph Huber, Shilei Tian, Jose Manuel Monsalve Diaz, Barbara M. Chapman, Giorgis Georgakoudis:
Co-Designing an OpenMP GPU Runtime and Optimizations for Near-Zero Overhead Execution. 504-514 - Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li:
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. 515-525 - Diogo Nunes, Daniel Castro, Paolo Romano:
CSMV: A Highly Scalable Multi-Versioned Software Transactional Memory for GPUs. 526-536 - Leonardo Bautista-Gomez:
Resilience at Extreme Scale and Connections with Other Domains. 537 - Matthieu Dorier, Zhe Wang, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar:
Colza: Enabling Elastic In Situ Visualization for High-performance Computing Simulations. 538-548 - Tahsin Reza, Geoffrey Sanders, Roger Pearce:
Towards Distributed 2-Approximation Steiner Minimal Trees in Billion-edge Graphs. 549-559 - Pierre Civit, Seth Gilbert, Vincent Gramoli, Rachid Guerraoui, Jovan Komatovic:
As easy as ABC: Optimal (A)ccountable (B)yzantine (C)onsensus is easy! 560-570 - Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna:
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators. 571-582 - Sara Karamati, Clayton Hughes, K. Scott Hemmert, Ryan E. Grant, Whit Schonbein, Scott Levy, Thomas M. Conte, Jeffrey Young, Richard W. Vuduc:
"Smarter" NICs for faster molecular dynamics: a case study. 583-594 - Kai Lu, Nannan Zhao, Jiguang Wan, Changhong Fei, Wei Zhao, Tongliang Deng:
RLRP: High-Efficient Data Placement with Reinforcement Learning for Modern Distributed Storage Systems. 595-605 - Siddharth Singh, Abhinav Bhatele:
AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning. 606-616 - Jiantong Jiang, Zeyi Wen, Ajmal Mian:
Fast Parallel Bayesian Network Structure Learning. 617-627 - Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram:
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. 628-638 - Xinghao Wu, Jianwei Niu, Xuefeng Liu, Tao Ren, Zhangmin Huang, Zhetao Li:
pFedGF: Enabling Personalized Federated Learning via Gradient Fusion. 639-649 - Kun Li, Liang Yuan, Yunquan Zhang, Yue Yue, Hang Cao:
An Efficient Vectorization Scheme for Stencil Computation. 650-660 - Tytus Pikies, Hanna Furmanczyk:
Scheduling on Uniform and Unrelated Machines with Bipartite Incompatibility Graphs. 661-671 - Bingzheng Ma, Ziqiang Zhang, Yusen Li, Wentong Cai, Gang Wang, Xiaoguang Liu:
SPIDER: An Effective, Efficient and Robust Load Scheduler for Real-time Split Frame Rendering. 672-682 - Louis-Claude Canon, Anthony Dugois, Loris Marchal:
Bounding the Flow Time in Online Scheduling with Structured Processing Sets. 683-693 - Maxime Gonthier, Loris Marchal, Samuel Thibault:
Memory-Aware Scheduling of Tasks Sharing Data on Multiple GPUs with Dynamic Runtime Systems. 694-704 - Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky:
Accelerating Encrypted Computing on Intel GPUs. 705-716 - Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello:
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. 717-727 - Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee:
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs. 728-738 - Henrique Fingler, Zhiting Zhu, Esther Yoon, Zhipeng Jia, Emmett Witchel, Christopher J. Rossbach:
DGSF: Disaggregated GPUs for Serverless Functions. 739-750 - Zhuoran Ji, Cho-Li Wang:
Compiler-Directed Incremental Checkpointing for Low Latency GPU Preemption. 751-761 - Joseph Hutter, Justin Josef Szaday, Jaemin Choi, Simeng Liu, Laxmikant V. Kalé, Spencer Wallace, Thomas R. Quinn:
ParaTreeT: A Fast, General Framework for Spatial Tree Traversal. 762-772 - Weicai Ye, Chenghuan Huang, Jiasheng Huang, Jiajun Li, Yao Lu, Ying Jiang:
An Integral-equation-oriented Vectorized SpMV Algorithm and its Application on CT Imaging Reconstruction. 773-783 - Xu T. Liu, Jesun Firoz, Sinan Aksoy, Ilya Amburg, Andrew Lumsdaine, Cliff A. Joslyn, Brenda Praggastis, Assefaw H. Gebremedhin:
High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis. 784-794 - Olamide Timothy Tawose, Bin Li, Lei Yang, Feng Yan, Dongfang Zhao:
Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays. 795-805 - Alexander Brace, Igor Yakushin, Heng Ma, Anda Trifan, Todd S. Munson, Ian T. Foster, Arvind Ramanathan, Hyungro Lee, Matteo Turilli, Shantenu Jha:
Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations. 806-816 - Massimiliano Meneghin, Ahmed H. Mahmoud, Pradeep Kumar Jayaraman, Nigel J. W. Morris:
Neon: A Multi-GPU Programming Model for Grid-based Computations. 817-827 - Juan Miguel De Haro Ruiz, Rubén Cano, Carlos Álvarez, Daniel Jiménez-González, Xavier Martorell, Eduard Ayguadé, Jesús Labarta, François Abel, Burkhard Ringlein, Beat Weiss:
OmpSs@cloudFPGA: An FPGA Task-Based Programming Model with Message Passing. 828-838 - Joseph Schuchart, Poornima Nookala, Mohammad Mahdi Javanmard, Thomas Hérault, Edward F. Valeev, George Bosilca, Robert J. Harrison:
Generalized Flow-Graph Programming Using Template Task-Graphs: Initial Implementation and Assessment. 839-849 - Yifan Xu, Anchengcheng Zhou, Kunal Agrawal, I-Ting Angelina Lee:
PINT: Parallel INTerval-Based Race Detector. 850-861 - Anne-Marie Kermarrec:
Frugal Decentralized Learning. 862 - Jialin Li, Huang Ye, Shaobo Tian, Xinyuan Li, Jian Zhang:
A Fine-grained Prefetching Scheme for DGEMM Kernels on GPU with Auto-tuning Compatibility. 863-874 - Qingxiao Sun, Yi Liu, Hailong Yang, Zhonghui Jiang, Zhongzhi Luan, Depei Qian:
StencilMART: Predicting Optimization Selection for Stencil Computations across GPUs. 875-885 - Ichitaro Yamazaki, Erin C. Carson, Brian Kelley:
Mixed Precision $s$-step Conjugate Gradient with Residual Replacement on GPUs. 886-896 - Amro Alabsi Aljundi, Taha Atahan Akyildiz, Kamer Kaya:
Degree-Aware Kernels for Computing Jaccard Weights on GPUs. 897-907 - Gökhan Göktürk, Kamer Kaya:
Fast and High-Quality Influence Maximization on Multiple GPUs. 908-918 - Vincent Tran, Jingsong Sun, Bin Tang, Deng Pan:
Traffic-Optimal Virtual Network Function Placement and Migration in Dynamic Cloud Data Centers. 919-929 - Hussam Al Daas, Grey Ballard, Lawton Manning:
Parallel Tensor Train Rounding using Gram SVD. 930-940 - Robin Kumar Sharma, Marc Casas:
Task-based Acceleration of Bidirectional Recurrent Neural Networks on Multi-core Architectures. 941-951 - Süreyya Emre Kurt, Saurabh Raje, Aravind Sukumaran-Rajam, P. Sadayappan:
Sparsity-Aware Tensor Decomposition. 952-962 - Dante Durrman, Erik Saule:
Coloring the Vertices of 9-pt and 27-pt Stencils with Intervals. 963-973 - Jin Zhang, Xiangyao Yu, Zhengwei Qi, Haibing Guan:
Falcon: A Timestamp-based Protocol to Maximize the Cache Efficiency in the Distributed Shared Memory. 974-984 - Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, Abhishek Chandra:
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning. 985-995 - Lijie Wen, Zan Zong, Li Lin, Leilei Lin:
A Swap Dominated Tensor Re-Generation Strategy for Training Deep Learning Models. 996-1006 - John Snyder, Alvin R. Lebeck:
Fast Convergence to Fairness for Reduced Long Flow Tail Latency in Datacenter Networks. 1007-1017 - Xianzhong Tian, Huixiao Meng, Yanjun Li, Pingting Miao, Pengcheng Xu:
Dynamic Computation Offloading for Green Things-Edge-Cloud Computing with Local Caching. 1018-1028 - Jing Wang, Chao Li, Taolei Wang, Lu Zhang, Pengyu Wang, Junyi Mei, Minyi Guo:
Excavating the Potential of Graph Workload on RDMA-based Far Memory Architecture. 1029-1039 - Stephen J. Young, Sinan Aksoy, Jesun Firoz, Roberto Gioiosa, Tobias Hagge, Mark Kempton, Juan Escobedo, Mark Raugas:
SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks. 1040-1050 - Mingxuan He, Mithuna Thottethodi, T. N. Vijaykumar:
Booster: An Accelerator for Gradient Boosting Decision Trees Training and Inference. 1051-1062 - Fuping Niu, Jianhui Yue, Jiangqiu Shen, Xiaofei Liao, Haikun Liu, Hai Jin:
FlashWalker: An In-Storage Accelerator for Graph Random Walks. 1063-1073 - Sohan Lal, Manuel Renz, Julian Hartmer, Ben H. H. Juurlink:
Memory Access Granularity Aware Lossless Compression for GPUs. 1074-1084 - Truong Thao Nguyen, François Trahay, Jens Domke, Aleksandr Drozd, Emil Vatai, Jianwei Liao, Mohamed Wahib, Balazs Gerofi:
Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning. 1085-1096 - Xueyu Hou, Yongjie Guan, Tao Han, Ning Zhang:
DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices. 1097-1107 - Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. 1108-1117 - Khaled Z. Ibrahim, Leonid Oliker:
Preprocessing Pipeline Optimization for Scientific Deep Learning Workloads. 1118-1128 - Vijay K. Garg, Saptaparni Kumar, Lewis Tseng, Xiong Zheng:
Fault-tolerant Snapshot Objects in Message Passing Systems. 1129-1139 - Syohei Maruyama, Yuichi Sudo, Sayaka Kamei, Hirotsugu Kakugawa:
A self-stabilizing 2-minimal dominating set algorithm based on loop composition in networks of girth at least 7. 1140-1150 - Rory Hector, Gokarna Sharma, Ramachandran Vaidyanathan, Jerry L. Trahan:
Optimal Arbitrary Pattern Formation on a Grid by Asynchronous Autonomous Robots. 1151-1161 - Anastasiia Gorbunova, Rachid Guerraoui, Anne-Marie Kermarrec, Anastasiia Kucherenko, Rafaël Pinot:
The Universal Gossip Fighter. 1162-1172 - Nicholai Tukanov, Rajalakshmi Srinivasaraghavan, José E. Moreira, Tze Meng Low:
Modeling Matrix Engines for Portability and Performance. 1173-1183 - Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Song Fu, Qing Yang, Mingxiong Liu:
MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications. 1184-1194 - Chirayu Anant Haryan, G. Ramakrishna, Kishore Kothapalli, Dip Sankar Banerjee:
Shared-Memory Parallel Algorithms for Fully Dynamic Maintenance of 2-Connected Components. 1195-1205 - Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari:
Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. 1206-1216 - Behrooz Zarebavani, Kazem Cheshmi, Bangtian Liu, Michelle Mills Strout, Maryam Mehri Dehnavi:
HDagg: Hybrid Aggregation of Loop-carried Dependence Iterations in Sparse Matrix Computations. 1217-1227 - Jintong Liu, Shenggang Wan, Xubin He:
Alias-Chain: Improving Blockchain Scalability via Exploring Content Locality among Transactions. 1228-1238 - Hongyi Huang, Wenfei Wu, Yongchao He, Zehua Guo:
SFP: Service Function Chain Provision on Programmable Switches for Cloud Tenants. 1239-1249 - Xiaohai Dai, Bin Xiao, Jiang Xiao, Hai Jin:
An Efficient Block Validation Mechanism for UTXO-based Blockchains. 1250-1260 - Abdullah Al-Mamun, Haoting Shen, Dongfang Zhao:
DEAN: A Lightweight and Resource-efficient Blockchain Protocol for Reliable Edge Computing. 1261-1271 - Xin You, Hailong Yang, Zhibo Xuan, Zhongzhi Luan, Depei Qian:
PowerSpector: Towards Energy Efficiency with Calling-Context-Aware Profiling. 1272-1282 - Jin Xue, Zhiqi Wang, Tianyu Wang, Zili Shao:
TagTree: Global Tagging Index with Efficient Querying for Time Series Databases. 1283-1293 - Bin Yang, Yanliang Zou, Weiguo Liu, Wei Xue:
An End-to-end and Adaptive I/O Optimization Tool for Modern HPC Storage Systems. 1294-1304 - Yiqin Dai, Yong Dong, Min Xie, Kai Lu, Ruibo Wang, Mingtian Shao, Juan Chen:
The Fast and Scalable MPI Application Launch of the Tianhe HPC system. 1305-1315 - Yulei Jia, Guangping Xu, Chi Wan Sung, Salwa Mostafa, Yulei Wu:
HRaft: Adaptive Erasure Coded Data Maintenance for Consensus in Distributed Networks. 1316-1326 - Haowei Huang, Pu Pang, Quan Chen, Jieru Zhao, Wenli Zheng, Minyi Guo:
CSC: Collaborative System Configuration for I/O-Intensive Applications in Multi-Tenant Clouds. 1327-1337 - Bin Xu, Jianzhong Huang, Xiao Qin, Qiang Cao, Yuanyuan Dong, Weikang Kong:
Archpipe: Fast and Flexible Pipelined Erasure-coded Archival Scheme for Heterogeneous Networks. 1338-1348 - Wenxiang Yang, Xiangke Liao, Dezun Dong, Jie Yu:
A Quantitative Study of the Spatiotemporal I/O Burstiness of HPC Application. 1349-1359 - Hyungjoon Kwon, Yonghyeon Cho, Awais Khan, Yeohyeon Park, Youngjae Kim:
DENOVA: Deduplication Extended NOVA File System. 1360-1371
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-09 22:56 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
