high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » paper

Thousand core chips: a technology perspective

Shekhar Borkar

View

Download (PDF)

Tags: Architecture, Computer science, Review

January 7, 2011 by hgpu

FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods

Stephanie Zierke, Jason Bakos

View

Download (PDF)

Tags: Bioinformatics, Biology, FPGA

January 7, 2011 by hgpu

A Unified Runtime System for Heterogeneous Multi-core Architectures

Cedric Augonnet, Raymond Namyst

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Memory, nVidia, nVidia Quadro FX 4600

January 7, 2011 by hgpu

JCUDA: A Programmer-Friendly Interface for Accelerating Java Programs with CUDA

Yonghong Yan, Max Grossman, Vivek Sarkar

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Java, nVidia, Package, Tesla C1060

January 7, 2011 by hgpu

Variants of Jump Flooding Algorithm for Computing Discrete Voronoi Diagrams

Guodong Rong, Tiow S. Tan

View

Download (PDF)

Tags: Distance transform, Graph theory, nVidia, nVidia GeForce 6800, Voronoi diagram

January 7, 2011 by hgpu

Power Consumption of GPUs from a Software Perspective

Sylvain Collange, David Defour, Arnaud Tisserand

View

Download (PDF)

Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 9800 GX2, Tesla C870, Tesla D870, Tesla T10P

January 7, 2011 by hgpu

Data transformations enabling loop vectorization on multithreaded data parallel architectures

Byunghyun Jang, Perhaad Mistry, Dana Schaa, Rodrigo Dominguez, David Kaeli

View

Download (PDF)

Tags: ATI, ATI Radeon HD 3870, ATI Stream, Brook, Code generation, Compilers, Computer science, Optimization

January 7, 2011 by hgpu

Fast BVH Construction on GPUs

C. Lauterbach, M. Garland, S. Sengupta, D. Luebke, D. Manocha

View

Download (PDF)

Tags: Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Raytracing

January 7, 2011 by hgpu

Low latency photon mapping using block hashing

Vincent C. H. Ma, Michael D. Mccool

View

Download (PDF)

Tags: Algorithms, Computer science, Hashing, Rendering

January 7, 2011 by hgpu

Message passing on data-parallel architectures

Jeff A. Stuart, John D. Owens

View

Download (PDF)

Tags: Computer science, GPU cluster, MPI, Networks, nVidia, nVidia GeForce GTX 280

January 6, 2011 by hgpu

Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA

Perhaad Mistry, Sherman Braganza, David Kaeli, Miriam Leeser

View

Download (PDF)

Tags: Biology, CUDA, Genetics, Image processing, nVidia, nVidia GeForce 8800 GTX

January 6, 2011 by hgpu

Hardware-accelerated parallel non-photorealistic volume rendering

Eric B. Lum, Kwan-Liu Ma

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce 3, Rendering, Visualization

January 6, 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

Applications

Thousand core chips: a technology perspective

FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods

A Unified Runtime System for Heterogeneous Multi-core Architectures

JCUDA: A Programmer-Friendly Interface for Accelerating Java Programs with CUDA

Variants of Jump Flooding Algorithm for Computing Discrete Voronoi Diagrams

Power Consumption of GPUs from a Software Perspective

Data transformations enabling loop vectorization on multithreaded data parallel architectures

Fast BVH Construction on GPUs

Low latency photon mapping using block hashing

Message passing on data-parallel architectures

Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA

Hardware-accelerated parallel non-photorealistic volume rendering

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)