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hgpu.org » Applications » Computer science

An OpenCL framework for heterogeneous multicores with local memory

Jaejin Lee, Jungwon Kim, Sangmin Seo, Seungkyun Kim, Jungho Park, Honggyu Kim, Thanh T. Dao, Yongjin Cho, Sung J. Seo, Seung H. Lee, Seung M. Cho, Hyo J. Song, Sang B. Suh, Jong D. Choi

Tags: Computer science, Memory model, OpenCL

January 16, 2011 by hgpu

MPI-CUDA parallelization of a finite-strip program for geometric nonlinear analysis: A hybrid approach

P. S. Rakic, D. D. Milasinovic, Živanov, Z. Suvajdzin, M. Nikolic, M. Hajdukovic

Tags: Computational Engineering, Computer science, CUDA, MPI, nVidia, Programming techniques

January 16, 2011 by hgpu

A symbolic verifier for CUDA programs

Guodong Li, Ganesh Gopalakrishnan, Robert M. Kirby, Dan Quinlan

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Tags: Compilers, Computer science, CUDA, nVidia

January 16, 2011 by hgpu

Introduction to GPGPU, a hardware and software background

Guillaume Colin de Verdiere

Tags: Computer science, Programming techniques, Review

January 16, 2011 by hgpu

Visualizing complex dynamics in many-core accelerator architectures

Aaron Ariel, Wilson W. L. Fung, Andrew E. Turner, Tor M. Aamodt

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Visualization

January 15, 2011 by hgpu

An Architecture for Distributed Behavioral Models with GPUs

Rosario De Chiara, Ugo Erra, Vittorio Scarano

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce 6800 GT

January 15, 2011 by hgpu

Piecewise Tri-linear Contouring for Multi-material Volumes

Powei Feng, Tao Ju, Joe D. Warren

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Tags: Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, OpenMP, Rendering

January 15, 2011 by hgpu

Barra: A Parallel Functional Simulator for GPGPU

Sylvain Collange, Marc Daumas, David Defour, David

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Package

January 15, 2011 by hgpu

Accelerating SIFT on parallel architectures

Seth Warn, Wesley Emeneker, Jackson Cothren, Amy Apon

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Tags: Computer vision, CUDA, Image processing, nVidia Quadro FX 5800

January 15, 2011 by hgpu

Random Walks for Interactive Organ Segmentation in Two and Three Dimensions: Implementation and Validation

Leo Grady, Thomas Schiwietz, Shmuel Aharon, Rudiger Westermann

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Tags: ATI, ATI Radeon X800 XT, Computer science, Image processing, Medicine

January 15, 2011 by hgpu

Poster: CUDA-Accelerated Continuous 2D Scatterplots

Sven Bachthaler, Steffen Frey, Daniel Weiskopf

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Visualization

January 15, 2011 by hgpu

Fast collision detection using the A-buffer

Han-Young Jang, JungHyun Han

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Tags: Algorithms, Collision detection, Computer science, DirectX, Games, nVidia, nVidia GeForce 8800 GTS

January 15, 2011 by hgpu

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

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

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)

DVM: Real-Time Kernel Generation for Dynamic AI Models

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

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

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

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

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high performance computing on graphics processing units: hgpu.org

Applications

An OpenCL framework for heterogeneous multicores with local memory

MPI-CUDA parallelization of a finite-strip program for geometric nonlinear analysis: A hybrid approach

A symbolic verifier for CUDA programs

Introduction to GPGPU, a hardware and software background

Visualizing complex dynamics in many-core accelerator architectures

An Architecture for Distributed Behavioral Models with GPUs

Piecewise Tri-linear Contouring for Multi-material Volumes

Barra: A Parallel Functional Simulator for GPGPU

Accelerating SIFT on parallel architectures

Random Walks for Interactive Organ Segmentation in Two and Three Dimensions: Implementation and Validation

Poster: CUDA-Accelerated Continuous 2D Scatterplots

Fast collision detection using the A-buffer

Recent source codes

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

LLM.Q: Quantized LLM training in pure CUDA/C++

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

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