high performance computing on graphics processing units: hgpu.org

Chayanon (Namo)Wichitrnithed, Woo-Sun-Yang, Yun (Helen)He, Brad Richardson, Koichi Sakaguchi, Manuel Arenaz, William I. Gustafson Jr., Jacob Shpund, Ulises Costi Blanco, Alvaro Goldar Dieste

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Tags: Computer science, CUDA, Fortran, MPI, nVidia, nVidia A100, OpenMP, Optimization, Package, Weather prediction

September 15, 2024 by hgpu

A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers

Cristian Peñaranda, Carlos Reaño, Federico Silla

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Tags: Compression, Computer science, CUDA, Deep learning, nVidia, nVidia A100, Package, Virtualization

September 1, 2024 by hgpu

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations

microSYCL: SYCL micro-benchmarks repository

Exploring SYCL as a Portability Layer for High-Performance Computing on CPUs

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high performance computing on graphics processing units: hgpu.org

Over-synchronization in GPU Programs

Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs

Accelerating Drug Discovery in AutoDock-GPU with Tensor Cores

Optimized Code Generation for Parallel and Polyhedral Loop Nests using MLIR

Event-Based OpenMP Tasks for Time-Sensitive GPU-Accelerated Systems

Automatic Generation of OpenCL Code through Polyhedral Compilation with LLM

A Study of Performance Programming of CPU, GPU accelerated Computers and SIMD Architecture

Enhancing Code Portability, Problem Scale, and Storage Efficiency in Exascale Applicationsin Exascale Applications

DNA sequence alignment: An assignment for OpenMP, MPI, and CUDA/OpenCL

Optimal Workload Placement on Multi-Instance GPUs

Optimizing the Weather Research and Forecasting Model with OpenMP Offload and Codee