high performance computing on graphics processing units: hgpu.org

Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernandez Marques, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac (Te-Chung)Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng

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Tags: AI, Algorithms, Computer science, nVidia, Package, Security

July 7, 2024 by hgpu

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services

Ali Doosthosseini, Jonathan Decker, Hendrik Nolte, Julian M. Kunkel

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Tags: AI, Cloud, Computer science, HPC, LLM, nVidia, nVidia H100, Package, PC cluster

July 7, 2024 by hgpu

Towards Unified Analysis of GPU Consistency

Haining Tong, Natalia Gavrilenko, Hernán Ponce de León, Keijo Heljanko

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Tags: Computer science, Memory, nVidia, OpenCL, Package, PTX, Vulkan

July 7, 2024 by hgpu

PSCToolkit: solving sparse linear systems with a large number of GPUs

Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone

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Tags: CUDA, Linear Algebra, Mathematical Software, Mathematics, Numerical Analysis, nVidia, nVidia A100, Package, Sparse

July 7, 2024 by hgpu

CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization

Jacob O. Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander

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Tags: Benchmarking, Compilers, Computer science, Machine learning, nVidia, nVidia GeForce GTX Titan V, nVidia Titan RTX, OpenCL, Package

June 30, 2024 by hgpu

A Survey of General-purpose Polyhedral Compilers

Arun Thangamani, Vincent Loechner, Stéphane Genaud

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Tags: Compilers, Computer science, CUDA, nVidia, nVidia A100, OpenCL, Package, survey

June 30, 2024 by hgpu

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

Effects of OpenCL-Based Parallelization Methods on Explicit Numerical Methods to Solve the Heat Equation

UVaFTLE: Lagrangian finite time Lyapunov exponent extraction for fluid dynamic applications

Challenging Portability Paradigms: FPGA Acceleration Using SYCL and OpenCL

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high performance computing on graphics processing units: hgpu.org

Packages

Acceleration for the many, not the few

Springald: GPU-Accelerated Window-Based Aggregates Over Out-of-Order Data Streams

A Comparison of OpenCL, CUDA, and HIP as Compilation Targets for a Functional Array Language

Bringing Auto-tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs

RBMD: A molecular dynamics package enabling to simulate 10 million all-atom particles in a single graphics processing unit

Automating Heterogeneous Parallelism in Numerical Differential Equations

Supercharging Federated Learning with Flower and NVIDIA FLARE

Towards Unified Analysis of GPU Consistency

PSCToolkit: solving sparse linear systems with a large number of GPUs

CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization

A Survey of General-purpose Polyhedral Compilers

Recent source codes

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Effects of OpenCL-Based Parallelization Methods on Explicit Numerical Methods to Solve the Heat Equation

Faial: finds bugs in CUDA kernels

Intel® SHMEM: Device initiated shared memory based communication library

miniLB: Lattice Botlzmann miniapp w/SYCL

AFOCL

2domination

MFC: Exascale simulation of multiphase/physics fluid dynamics

UVaFTLE: Lagrangian finite time Lyapunov exponent extraction for fluid dynamic applications

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