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Liszt: A Domain Specific Language for Building Portable Mesh-based PDE Solvers

Zachary DeVito, Niels Joubert, Francisco Palacios, Stephen Oakley, Montserrat Medina, Mike Barrientos, Erich Elsen, Frank Ham, Alex Aiken, Karthik Duraisamy, Eric Darve, Juan Alonso, Pat Hanrahan

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Package, Partial differential equations, PDEs, Performance, Programming Languages, Tesla C2050

October 14, 2011 by hgpu

GPU Computing Gems: Jade Edition

Wen-mei W. Hwu

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Tags: Algorithms, Book, Cellular automata, Computational finance, Computer science, Computer vision, CUDA, Finance, Fluid dynamics, Games, GPU cluster, nVidia

October 14, 2011 by hgpu

Towards scalar synchronization in SIMT architectures

Arun Ramamurthy

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Tags: Benchmarking, Computer science, CUDA, nVidia, OpenCL, Performance, Programming techniques, Thesis

October 14, 2011 by hgpu

A Heterogeneous Parallel Framework for Domain-Specific Languages

Kevin J. Brown, Arvind K. Sujeeth, HyoukJoong Lee, Tiark Rompf, Hassan Chafi, Martin Odersky, Kunle Olukotun

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Tags: Computer science, Heterogeneous systems, Machine learning, nVidia, OpenCL, Optimization, Programming techniques, Tesla C2050

October 14, 2011 by hgpu

Fast Multipole Method vs. Spectral Method for the Simulation of Isotropic Turbulence on GPUs

Rio Yokota, L. A. Barba

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Tags: Algorithms, Computational Physics, CUDA, Fast multipole method, FFT, Fluid dynamics, Numerical Analysis, nVidia, Spectral methods, Tesla C2070

October 14, 2011 by hgpu

Benchmarking Across Platforms: European Option Pricing

Igor N. Kozin

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Tags: AMD FireStream 9270, Benchmarking, Cell processor, Computer science, CUDA, Finance, nVidia, OpenCL, Tesla M2050, Tesla S1070

October 13, 2011 by hgpu

Firepile: Run-time Compilation for GPUs in Scala

Nathaniel Nystrom, Derek White, Kishen Das

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Tags: Code generation, Compilers, Computer science, nVidia, nVidia GeForce 9800 GT, OpenCL, Package, Performance

October 13, 2011 by hgpu

A rendering method for simulated emission nebulae

Adam Carlson

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 460, OpenCL, Rendering, Thesis, Visualization

October 13, 2011 by hgpu

Input Sensitivity of GPU Program Optimizations

Yixun Liu, Eddy Z. Zhang, Poornima Bhamidipati, Xipeng Shen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, OpenCL, Optimization, Performance, Tesla C1060

October 13, 2011 by hgpu

gpustats: GPU Library for Statistical Computing in Python

Andrew Cron, Wes McKinney

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Tags: Algorithms, Bayesian, Code generation, CUDA, Mathematics, nVidia, nVidia GeForce GTS 250, OpenCL, Package, Probability, Python, Statistics

October 13, 2011 by hgpu

Developing a High Performance GPGPU Compiler Using Cetus

Yi Yang, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 5870, Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization

October 13, 2011 by hgpu

PlinkGPU: A Framework for GPU Acceleration of Whole Genome Data Analysis

Jeffrey Poznanovic

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, OpenCL, Tesla S1070

October 13, 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

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high performance computing on graphics processing units: hgpu.org

Liszt: A Domain Specific Language for Building Portable Mesh-based PDE Solvers

GPU Computing Gems: Jade Edition

Towards scalar synchronization in SIMT architectures

A Heterogeneous Parallel Framework for Domain-Specific Languages

Fast Multipole Method vs. Spectral Method for the Simulation of Isotropic Turbulence on GPUs

Benchmarking Across Platforms: European Option Pricing

Firepile: Run-time Compilation for GPUs in Scala

A rendering method for simulated emission nebulae

Input Sensitivity of GPU Program Optimizations

gpustats: GPU Library for Statistical Computing in Python

Developing a High Performance GPGPU Compiler Using Cetus

PlinkGPU: A Framework for GPU Acceleration of Whole Genome Data Analysis

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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