high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Fast Schedulability Analysis Using Commodity Graphics Hardware

Jimin Feng, Samarjit Chakraborty, Bertil Schmidt, Weiguo Liu, Unmesh D. Bordoloi

View

Download (PDF)

Tags: Cg, Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL, Optimization

January 25, 2011 by hgpu

Parallel multiclass classification using SVMs on GPUs

Sergio H. Lopez, John R. Williams, Abel Sanchez

Tags: Computer science, Programming techniques

January 25, 2011 by hgpu

A New Era in Scientific Computing: Domain Decomposition Methods in Hybrid CPU-GPU Architectures

M. Papadrakakis, G. Stavroulakis, A. Karatarakis

Tags: Computational Engineering, Computer science, Finite difference, Finite element method

January 25, 2011 by hgpu

On the Visualization of Social and other Scale-Free Networks

Yuntao Jia, Jared Hoberock, Michael Garland, John C. Hart

View

Download (PDF)

Tags: Algorithms, Computer science, Visualization

January 24, 2011 by hgpu

MLS-based scalar fields over triangle meshes and their application in mesh processing

Jingyi Jin, Michael Garland, Edgar A. Ramos

Tags: 3D Graphics and Realism, Algorithms, Computer science, Triangular meshes

January 24, 2011 by hgpu

CUDASA: Compute Unified Device and Systems Architecture

M. Strengert, C. Muller, C. Dachsbacher, and T. Ertl

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, High-level Languages, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia Quadro FX 5600

January 24, 2011 by hgpu

Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Xiao-Long Wu, Nady Obeid, Wen-Mei Hwu

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization

January 24, 2011 by hgpu

Data Layout Transformation for Structured-Grid Codes on GPU

I-Jui Sung, Wen-Mei Hwu

View

Download (PDF)

Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280

January 24, 2011 by hgpu

Program Optimization Strategies for Data-Parallel Many-Core Processors

Shane Ryoo

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Thesis

January 24, 2011 by hgpu

Efficient Parallel Scan Algorithms for GPUs

Shubhabrata Sengupta, Mark Harris, Michael Garland

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package

January 24, 2011 by hgpu

Efficient Sparse Matrix-Vector Multiplication on CUDA

Nathan Bell and Michael Garland

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Sparse matrix

January 24, 2011 by hgpu

Parallel Genetic Algorithms on Programmable Graphics Hardware

Qizhi Yu, Chongcheng Chen and Zhigeng Pan

View

Download (PDF)

Tags: Algorithms, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6800 GT

January 23, 2011 by hgpu

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

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

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

* * *

high performance computing on graphics processing units: hgpu.org

Fast Schedulability Analysis Using Commodity Graphics Hardware

Parallel multiclass classification using SVMs on GPUs

A New Era in Scientific Computing: Domain Decomposition Methods in Hybrid CPU-GPU Architectures

On the Visualization of Social and other Scale-Free Networks

MLS-based scalar fields over triangle meshes and their application in mesh processing

CUDASA: Compute Unified Device and Systems Architecture

Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Data Layout Transformation for Structured-Grid Codes on GPU

Program Optimization Strategies for Data-Parallel Many-Core Processors

Efficient Parallel Scan Algorithms for GPUs

Efficient Sparse Matrix-Vector Multiplication on CUDA

Parallel Genetic Algorithms on Programmable Graphics Hardware

Recent source codes

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

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

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

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

True 4-Bit Quantized CNN Training on CPU

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

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

Most viewed papers (last 30 days)