high performance computing on graphics processing units: hgpu.org

hgpu.org » Review

GPU architecture overview

John Owens

View

Download (PDF)

Tags: Computer science, Hardware, Presentation, Review

December 5, 2010 by hgpu

GPU physics

Mark Harris

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, OpenGL, Presentation, Review

December 5, 2010 by hgpu

GPUQP: query co-processing using graphics processors

Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Review

December 4, 2010 by hgpu

GPU Computing: Programming a Massively Parallel Processor

Ian Buck

Tags: Computer science, CUDA, High-level Languages, nVidia, Review

December 4, 2010 by hgpu

GPU-friendly warped display for scope-maintained video surveillance

Wang, Guangyu, Wong, Tien-Tsin, Heng, Pheng-Ann

Tags: Image processing, Review

December 4, 2010 by hgpu

Streaming architectures and technology trends

John Owens

Tags: Computer science, Review

December 1, 2010 by hgpu

Taking the graphics processor beyond graphics

D. Geer

View

Download (PDF)

Tags: Computer science, Review

November 30, 2010 by hgpu

Scientific computation for simulations on programmable graphics hardware

Robert Strzodka, Michael Doggett, Andreas Kolb

View

Download (PDF)

Tags: Computer science, Numerical simulation, Review

November 30, 2010 by hgpu

A survey of point-based techniques in computer graphics

Leif Kobbelt, Mario Botsch

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, Rendering, Review

November 29, 2010 by hgpu

A survey of BRDF models for computer graphics

Murat Kurt, Dave Edwards

Tags: 3D Graphics and Realism, Computer science, Image processing, Review

November 27, 2010 by hgpu

Novel Computing Architectures

Volodymyr Kindratenko

Tags: Cell processor, Computer science, FPGA, Review

November 25, 2010 by hgpu

State-of-the-art in heterogeneous computing

Andre R. Brodtkorb, Christopher Dyken, Trond R. Hagen, Jon M. Hjelmervik, Olaf O. Storaasli

View

Download (PDF)

Tags: Computer science, Energy-efficient computing, Review

November 22, 2010 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

GPU architecture overview

GPU physics

GPUQP: query co-processing using graphics processors

GPU Computing: Programming a Massively Parallel Processor

GPU-friendly warped display for scope-maintained video surveillance

Streaming architectures and technology trends

Taking the graphics processor beyond graphics

Scientific computation for simulations on programmable graphics hardware

A survey of point-based techniques in computer graphics

A survey of BRDF models for computer graphics

Novel Computing Architectures

State-of-the-art in heterogeneous computing

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)