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Exploring Scalability in C++ Parallel STL Implementations

Ruben Laso, Diego Krupitza, Sascha Hunold

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Ampere A2, OpenMP, Package, Performance, Tesla T4

September 1, 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

Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects

Daniele De Sensi, Lorenzo Pichetti, Flavio Vella, Tiziano De Matteis, Zebin Ren, Luigi Fusco, Matteo Turisini, Daniele Cesarini, Kurt Lust, Animesh Trivedi, Duncan Roweth, Filippo Spiga, Salvatore Di Girolamo, Torsten Hoefler

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Tags: AMD Radeon Instinct MI250X, ATI, Benchmarking, Computer science, CUDA, HPC, MPI, nVidia, nVidia A100, nVidia H100, Performance

September 1, 2024 by hgpu

Abstractions for C++ code optimizations in parallel high-performance applications

Jiří Klepl, Adam Šmelko, Lukáš Rozsypal, Martin Kruliš

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Tags: Auto-Tuning, Computer science, CUDA, Data Structures and Algorithms, HPC, nVidia, Package, Tesla V100

August 25, 2024 by hgpu

Confidential Computing on Heterogeneous Systems: Survey and Implications

Qifan Wang, David Oswald

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia H100, Review, Security

August 25, 2024 by hgpu

CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations

Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale, Andrew Kallai, Johannes Doerfert, Luke Peyralans, Seyong Lee, Joel Denny, Sunita Chandrasekaran

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Tags: AMD Radeon Instinct MI210, AMD Radeon Instinct MI250X, ATI, Compilers, Computer science, Fortran, Heterogeneous systems, HPC, nVidia, nVidia H100, OpenMP

August 25, 2024 by hgpu

Characterizing CUDA and OpenMP Synchronization Primitives

Brandon Alexander Burtchell, Martin Burtscher

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Tags: Computer science, CUDA, nVidia, nVidia A100, nVidia GeForce RTX 2070, nVidia GeForce RTX 4090, OpenMP, Package, Performance

August 25, 2024 by hgpu

Double-Precision Floating-Point Data Visualizations Using Vulkan API

Nezihe Sözen

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Tags: Computer science, Extended precision, GLSL, nVidia, nVidia GeForce RTX 3090, Package, Rendering, Visualization, Vulkan

August 25, 2024 by hgpu

The VerCors Verifier: A Progress Report

Lukas Armborst, Pieter Bos, Lars B. van den Haak, Marieke Huisman, Robert Rubbens, Ömer Şakar, Philip Tasche

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Tags: Computer science, CUDA, OpenCL, OpenMP, Package, Performance, SYCL

August 18, 2024 by hgpu

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch

Sungho Lee, Marco Martínez-Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji

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Tags: nVidia, nVidia GeForce RTX 3090, Package, PyTorch, Signal processing

August 18, 2024 by hgpu

Portability of Fortran’s ‘do concurrent’ on GPUs

Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker, Jeff Larkin, Henry A. Gabb, Shiquan Su, Ivan Rodriguez, Zachary Tschirhart, Nicholas Malaya

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Tags: Computer science, Fortran, Intel, Intel Data Center GPU Max 1550, Intel Ponte Vecchio Max 1100, nVidia, nVidia A100, nVidia GH200, nVidia H100, OpenACC, OpenMP, Package

August 18, 2024 by hgpu

HiCCL: A Hierarchical Collective Communication Library

Mert Hidayetoglu, Simon Garcia de Gonzalo, Elliott Slaughter, Pinku Surana, Wen-mei Hwu, William Gropp, Alex Aiken

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Tags: AMD Radeon Instinct MI250X, ATI, Computer science, CUDA, HIP, nVidia, nVidia A100, Package, Performance, SYCL

August 18, 2024 by hgpu

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

Applications

Exploring Scalability in C++ Parallel STL Implementations

A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers

Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects

Abstractions for C++ code optimizations in parallel high-performance applications

Confidential Computing on Heterogeneous Systems: Survey and Implications

CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations

Characterizing CUDA and OpenMP Synchronization Primitives

Double-Precision Floating-Point Data Visualizations Using Vulkan API

The VerCors Verifier: A Progress Report

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch

Portability of Fortran’s ‘do concurrent’ on GPUs

HiCCL: A Hierarchical Collective Communication Library

Recent source codes

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

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

exa-AMD: Exascale Accelerated Materials Discovery

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

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

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

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