high performance computing on graphics processing units: hgpu.org

hgpu.org » Package

Owl: Differential-based Side-Channel Leakage Detection for CUDA Applications

Yu Zhao, Wenjie Xue, Weijie Chen, Weizhong Qiang, Deqing Zou, Hai Jin

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, nVidia, nVidia RTX A4000, Package, Security

September 1, 2024 by hgpu

Exploring Scalability in C++ Parallel STL Implementations

Ruben Laso, Diego Krupitza, Sascha Hunold

View

Download (PDF)

Source codes

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

View

Download (PDF)

Source codes

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

September 1, 2024 by hgpu

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

Jiří Klepl, Adam Šmelko, Lukáš Rozsypal, Martin Kruliš

View

Download (PDF)

Source codes

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

August 25, 2024 by hgpu

Double-Precision Floating-Point Data Visualizations Using Vulkan API

Nezihe Sözen

View

Download (PDF)

Source codes

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

August 25, 2024 by hgpu

Characterizing CUDA and OpenMP Synchronization Primitives

Brandon Alexander Burtchell, Martin Burtscher

View

Download (PDF)

Source codes

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

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

View

Download (PDF)

Source codes

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

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

View

Download (PDF)

Source codes

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

View

Download (PDF)

Source codes

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

August 18, 2024 by hgpu

Anatomizing Deep Learning Inference in Web Browsers

Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Deep learning, nVidia, nVidia GeForce GTX 1060, nVidia GeForce GTX 980, nVidia GeForce RTX 2060, OpenCL, Package, Performance, TensorFlow

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

View

Download (PDF)

Source codes

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

HIPRT: A Ray Tracing Framework in HIP

Daniel Meister, Paritosh Kulkarni, Aaryaman Vasishta, Takahiro Harada

View

Download (PDF)

Source codes

Tags: 3D Graphics and Realism, AMD Radeon Pro W7900, ATI, HIP, Package, Raytracing, Rendering, Vulkan

August 14, 2024 by hgpu

high performance computing on graphics processing units: hgpu.org

Owl: Differential-based Side-Channel Leakage Detection for CUDA Applications

Exploring Scalability in C++ Parallel STL Implementations

A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers

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

Double-Precision Floating-Point Data Visualizations Using Vulkan API

Characterizing CUDA and OpenMP Synchronization Primitives

The VerCors Verifier: A Progress Report

HiCCL: A Hierarchical Collective Communication Library

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

Anatomizing Deep Learning Inference in Web Browsers

Portability of Fortran’s ‘do concurrent’ on GPUs

HIPRT: A Ray Tracing Framework in HIP

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

Most viewed papers (last 30 days)