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20232026
most citedAnatomy of High-Performance GEMM with Online Fault Tolerance on GPUs

13 citations · 63 across the 28 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.DC2023

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation

Jinyang Liu, Sheng Di, Kai Zhao +7

Error-bounded lossy compression has been identified as a promising solution for significantly reducing scientific data volumes upon users' requirements on data distortion. For the…

physics.ins-det2023★ 4 cited

Beam Test of the First Prototype of SiPM-on-Tile Calorimeter Insert for the Electron-Ion Collider Using 4 GeV Positrons at Jefferson Laboratory

Miguel Arratia, Bruce Bagby, Peter Carney +6

We recently proposed a high-granularity calorimeter insert for the Electron-Ion Collider (EIC) that uses plastic scintillator tiles read out by SiPMs. Among its innovative features…

cs.DC2023

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters

Jiajun Huang, Sheng Di, Xiaodong Yu +11

GPU-aware collective communication has become a major bottleneck for modern computing platforms as GPU computing power rapidly rises. A traditional approach is to directly integrat…

cs.DC2023★ 2 cited

Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques

Jiajun Huang, Kaiming Ouyang, Yujia Zhai +8

In the exascale computing era, optimizing MPI collective performance in high-performance computing (HPC) applications is critical. Current algorithms face performance degradation d…

cs.DC2023★ 5 cited

FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs

Shixun Wu, Yujia Zhai, Jiajun Huang +2

General matrix/matrix multiplication (GEMM) is crucial for scientific computing and machine learning. However, the increased scale of the computing platforms raises concerns about…

cs.DC2023★ 13 cited

Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs

Shixun Wu, Yujia Zhai, Jinyang Liu +4

General Matrix Multiplication (GEMM) is a crucial algorithm for various applications such as machine learning and scientific computing, and an efficient GEMM implementation is esse…

cs.DC2023★ 3 cited

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression

Jiajun Huang, Sheng Di, Xiaodong Yu +11

With the ever-increasing computing power of supercomputers and the growing scale of scientific applications, the efficiency of MPI collective communications turns out to be a criti…

physics.ins-det2023★ 9 cited

Studies of time resolution, light yield, and crosstalk using SiPM-on-tile calorimetry for the future Electron-Ion Collider

Miguel Arratia, Luis Garabito Ruiz, Jiajun Huang +3

We recently proposed a high-granularity calorimeter insert for the Electron-Ion Collider (EIC) that is based on plastic scintillator tiles readout with silicon photomultipliers. In…