Review | Page 20 | hgpu.org

hgpu.org » Review

Optimal loop unrolling for GPGPU programs

Giridhar S. Murthy, Mahesh Ravishankar, Muthu M. Baskaran, P. Sadayappan

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, OpenCL, Review

November 3, 2010 by hgpu

GPGPU: general purpose computation on graphics hardware

David Luebke, Mark Harris, Jens Krüger, Tim Purcell, Naga Govindaraju, Ian Buck, Cliff Woolley, Aaron Lefohn

Tags: Computer science, Review

November 1, 2010 by hgpu

How GPUs Work

David Luebke, Greg Humphreys

View

Download (PDF)

Tags: Computer science, Review

October 30, 2010 by hgpu

GPUs: A Closer Look

Kayvon Fatahalian, Mike Houston

View

Download (PDF)

Tags: Computer science, Review

October 30, 2010 by hgpu

Mapping computational concepts to GPUs

Mark Harris

View

Download (PDF)

Tags: Computer science, Review

October 30, 2010 by hgpu

Rise of the Graphics Processor

D. Blythe

View

Download (PDF)

Tags: Computer science, Review

October 30, 2010 by hgpu

The GPU Computing Era

John Nickolls,William J. Dally

Tags: Computer science, Review

October 27, 2010 by hgpu

GPU Computing

John D. Owens,Mike Houston,David Luebke,Simon Green,John E. Stone,James C. Phillips

View

Download (PDF)

Tags: Biophysics, Computer science, Game physics, Review

October 27, 2010 by hgpu

ATTUNE: Agentic Throughput Tuning for LLM Training

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

Brian2 Atlas

A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelLens: Deploying Triton Kernels to C++ Inference Engines

Introduction to Computer Vision

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Optimal loop unrolling for GPGPU programs

GPGPU: general purpose computation on graphics hardware

How GPUs Work

GPUs: A Closer Look

Mapping computational concepts to GPUs

Rise of the Graphics Processor

The GPU Computing Era

GPU Computing

Recent source codes

ATTUNE: Agentic Throughput Tuning for LLM Training

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

Brian2 Atlas

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

Introduction to Computer Vision

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

Most viewed papers (last 30 days)