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Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

Sungpack Hong, Tayo Oguntebi, Kunle Olukotun

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 275, Tesla C2050

January 7, 2012 by hgpu

Interactive rendering of acquired materials on dynamic geometry using bandwidth prediction

Mahdi M. Bagher, Cyril Soler, Kartic Subr, Laurent Belcour, Nicolas Holzschuch

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Tags: Computer science, nVidia, nVidia GeForce GTX 560 Ti, Rendering

January 7, 2012 by hgpu

Graduate Operating Systems: Project Report

James Sweet

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Tags: AES, ATI, ATI Radeon HD 6750 M, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, OpenCL, Operating systems, Security, Tesla M2070

January 7, 2012 by hgpu

GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement

Hartwig Anzt, Piotr Luszczek, Jack Dongarra, Vincent Heuveline

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Tags: Algorithms, Computer science, CUDA, Mixed precision, nVidia, Tesla C2070

January 6, 2012 by hgpu

Hyper neural network on OpenCL

Frantisek Sindelar

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Tags: Algorithms, Compression, Computer science, Genetic programming, Neural networks, nVidia, nVidia Quadro NVS 140 M, OpenCL, Thesis

January 6, 2012 by hgpu

Lossless Compression of Variable-Precision Floating-Point Buffers on GPUs

Jeff Pool, Anselmo Lastra, Montek Singh

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Tags: Compression, Computer science, Programming techniques

January 6, 2012 by hgpu

CodePy

Martin Kempf

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Source codes

Tags: Code generation, Computer science, CUDA, nVidia, Package, Python

January 6, 2012 by hgpu

Low-power Task Scheduling for GPU Energy Reduction

Li Tang, Yiji Zhang

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 210, nVidia GeForce GTX 280, nVidia GeForce GTX 570, Operating systems, Task scheduling

January 6, 2012 by hgpu

Efficient 3D reconstruction of large-scale urban environments from street-level video

David Gallup

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Security, Thesis

January 6, 2012 by hgpu

A GPU Implementation of Inclusion-based Points-to Analysis

Mario Mendez-Lojo, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Programming techniques, Tesla C2070

January 5, 2012 by hgpu

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Yifeng Chen, Xiang Cui, Hong Mei

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Tags: Code generation, Computer science, CUDA, FFT, GPU cluster, Heterogeneous systems, MPI, nVidia, Optimization, Performance, Programming techniques, Pthreads, Tesla C1060

January 5, 2012 by hgpu

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

Pablo Quesada-Barriuso, Julian Lamas-Rodriguez, Dora B. Heras, Montserrat Boo, Francisco Arguello

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 295, OpenMP

January 5, 2012 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

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high performance computing on graphics processing units: hgpu.org

Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

Interactive rendering of acquired materials on dynamic geometry using bandwidth prediction

Graduate Operating Systems: Project Report

GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement

Hyper neural network on OpenCL

Lossless Compression of Variable-Precision Floating-Point Buffers on GPUs

CodePy

Low-power Task Scheduling for GPU Energy Reduction

Efficient 3D reconstruction of large-scale urban environments from street-level video

A GPU Implementation of Inclusion-based Points-to Analysis

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

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

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