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Fast Effective Deterministic Primality Test Using CUDA/GPGPU

Abu Asaduzzaman, Anindya Maiti, Chok M. Yip

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, Tesla C2075

January 9, 2014 by hgpu

Multicore Computing: Algorithms, Architectures, and Applications

Sanguthevar Rajasekaran, Lance Fiondella, Mohamed Ahmed, Reda A. Ammar

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Tags: Algorithms, Biology, Book, Computer science, CUDA, Linear Algebra, nVidia, String matching, Tesla

January 6, 2014 by hgpu

Conditional component composition for GPU-based systems

Usman Dastgeer, Christoph W. Kessler

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

January 6, 2014 by hgpu

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

E. Garcia, T. Hausotte

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Tags: Algorithms, Bayesian, CUDA, Filtering, nVidia, Package, Particle filtering, Physics, Probability, Tesla C2075

January 6, 2014 by hgpu

Parallel numerical simulation of two-phase flow model in porous media using distributed and shared memory architectures

Luis Miguel de la Cruz, Daniel Monsivais

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Tags: Compression, CUDA, Finite volume method, Fluid dynamics, Numerical simulation, nVidia, Physics, Tesla M4050

January 6, 2014 by hgpu

PySPH: A Python framework for SPH

Kunal Puri, Prabhu Ramachandran, Pankaj Pandey, Chandrashekhar Kaushik, Pushkar Godbole

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Tags: Fluid dynamics, OpenCL, Package, Python

January 6, 2014 by hgpu

GLSL Essentials

Jacobo Rodriguez

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Tags: 3D Graphics and Realism, Book, Computer science, GLSL, OpenGL, Rendering, Tutorial

January 5, 2014 by hgpu

Real-Time Radio Wave Propagation for Mobile Ad-Hoc Network Emulation using GPGPUs

Brian J. Henz, David Richie, Evens Jean, Song Jun Park, James A. Ross, Dale R. Shires

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, nVidia, OpenCL, Raytracing, Signal processing, Tesla C2070

January 5, 2014 by hgpu

Large scale 3D shape retrieval by exploiting multi-core and GPU

M. Benjelloun, E.W. Dadi, E.M. Daoudi

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 610, SIFT

January 5, 2014 by hgpu

Applying the Parallel GPU Model to Radiation Therapy Treatment

J. Steven Kirtzic, David Allen, Ovidiu Daescu

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Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 9800 GTX, Radiotherapy

January 5, 2014 by hgpu

DEF-G: Declarative Framework for GPU Environment

Robert Senser, Tom Altman

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Tags: Code generation, Computer science, Filtering, nVidia, nVidia GeForce GT 430, OpenCL, Tesla T20

January 5, 2014 by hgpu

Opportunities for Parallelism in Matrix Multiplication

Tyler M. Smith, Robert A. van de Geijn, Mikhail Smelyanskiy, Jeff R. Hammond and Field G. Van Zee

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Tags: Computer science, Intel Xeon Phi, Matrix multiplication

January 5, 2014 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

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

Applications

Fast Effective Deterministic Primality Test Using CUDA/GPGPU

Multicore Computing: Algorithms, Architectures, and Applications

Conditional component composition for GPU-based systems

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

Parallel numerical simulation of two-phase flow model in porous media using distributed and shared memory architectures

PySPH: A Python framework for SPH

GLSL Essentials

Real-Time Radio Wave Propagation for Mobile Ad-Hoc Network Emulation using GPGPUs

Large scale 3D shape retrieval by exploiting multi-core and GPU

Applying the Parallel GPU Model to Radiation Therapy Treatment

DEF-G: Declarative Framework for GPU Environment

Opportunities for Parallelism in Matrix Multiplication

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

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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