high performance computing on graphics processing units: hgpu.org

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Efficient linear-scaling quantum transport calculations on graphics processing units and applications on electron transport in graphene

Zheyong Fan, Andreas Uppstu, Topi Siro, Ari Harju

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Tags: Condensed matter, CUDA, Mesoscale and Nanoscale Physics, nVidia, Tesla K20

July 2, 2013 by hgpu

GPU Accelerated Fluid Flow Computations Using the Latice Boltzmann Method

C. Nita, L.M. Itu, C. Suciu

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 650, nVidia GeForce GTX 680

July 2, 2013 by hgpu

vSMC: Parallel Sequential Monte Carlo in C++

Yan Zhou

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Tags: Algorithms, Bayesian, Mathematical Software, Mathematics, nVidia, nVidia Quadro FX 2000, OpenCL, Package, Physics, Signal processing, Statistics

July 1, 2013 by hgpu

A Survey On Parallelization Of Data Mining Techniques

Shrikant Gond, Akshay Patil, V. B. Nikam

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, OpenCL, Overview

July 1, 2013 by hgpu

Generating Efficient Data Movement Code for Heterogeneous Architectures with Distributed-Memory

Roshan Dathathri, Chandan Reddy, Thejas Ramashekar, Uday Bondhugula

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Tags: ATI, ATI FirePro V4800, ATI Radeon HD 6550, Code generation, Computer science, Heterogeneous systems, nVidia, Tesla C2050

July 1, 2013 by hgpu

Exploiting multi-level parallelism in streaming applications for heterogeneous platforms with GPUs

Ana Balevic

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Tags: Code generation, Compilers, Computer science, CUDA, Data parallelism, Heterogeneous systems, nVidia, Tesla C2050, Thesis

July 1, 2013 by hgpu

Towards Performance-Portable, Scalable, and Convenient Linear Algebra

Philippe Tillet, Karl Rupp, Siegfried Selberherr, Chin-Teng Lin

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Tags: ATI, ATI Radeon HD 7970, Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 470, OpenCL, Task scheduling

July 1, 2013 by hgpu

Cropped Quad-Tree Based Solid Object Colouring with CUDA

Abdullah Cavusoglu, Baha Sen, Caner Ozcan, Salih Gorgunoglu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, nVidia Quadro FX 2000, OpenGL, Rendering

June 30, 2013 by hgpu

Accelerating SELECT WHERE and SELECT JOIN Queries on a GPU

Marcin Pietron, Pawel Russek, Kazimierz Wiatr

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, Tesla M2090

June 30, 2013 by hgpu

HadoopCL: MapReduce on Distributed Heterogeneous Platforms Through Seamless Integration of Hadoop and OpenCL

Max Grossman, Mauricio Breternitz, Vivek Sarkar

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Tags: APU, ATI, Computer science, Heterogeneous systems, Java, MapReduce, nVidia, OpenCL, Tesla M2050

June 30, 2013 by hgpu

A model of dynamic compilation for heterogeneous compute platforms

Andrew Kerr

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, OpenCL, PTX, Thesis

June 29, 2013 by hgpu

Adaptation of algorithms for underwater sonar data processing to GPU-based systems

Patricia Sundin

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Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, nVidia Quadro K5000, OpenCL, Tesla K20, Thesis

June 29, 2013 by hgpu

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

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

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

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

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high performance computing on graphics processing units: hgpu.org

Efficient linear-scaling quantum transport calculations on graphics processing units and applications on electron transport in graphene

GPU Accelerated Fluid Flow Computations Using the Latice Boltzmann Method

vSMC: Parallel Sequential Monte Carlo in C++

A Survey On Parallelization Of Data Mining Techniques

Generating Efficient Data Movement Code for Heterogeneous Architectures with Distributed-Memory

Exploiting multi-level parallelism in streaming applications for heterogeneous platforms with GPUs

Towards Performance-Portable, Scalable, and Convenient Linear Algebra

Cropped Quad-Tree Based Solid Object Colouring with CUDA

Accelerating SELECT WHERE and SELECT JOIN Queries on a GPU

HadoopCL: MapReduce on Distributed Heterogeneous Platforms Through Seamless Integration of Hadoop and OpenCL

A model of dynamic compilation for heterogeneous compute platforms

Adaptation of algorithms for underwater sonar data processing to GPU-based systems

Recent source codes

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

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

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

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

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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