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ValuePack: value-based scheduling framework for CPU-GPU clusters

Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat Chakradhar

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Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Tesla C2050

November 21, 2012 by hgpu

Dataflow-driven GPU performance projection for multi-kernel transformations

Jiayuan Meng, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance, Tesla C1060

November 20, 2012 by hgpu

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Li-Wen Chang, John A. Stratton, Hee-Seok Kim, Wen-Mei W. Hwu

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Source codes

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 480, Package, Tesla M2070

November 20, 2012 by hgpu

MPC Toolbox with GPU Accelerated Optimization Algorithms

Nicolai Fog Gade-Nielsen, John Bagterp Jorgensen, Bernd Dammann

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

November 20, 2012 by hgpu

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

Simen Andreas Andreassen Lonsethagen

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Tags: CUDA, Finite difference, Linear Algebra, Mathematics, nVidia, nVidia GeForce GTX 570, Thesis

November 20, 2012 by hgpu

CUDA-enabled Optimisation of Technical Analysis Parameters

John O'Rourke, John Burns

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Tags: CUDA, Finance, Genetic programming, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 480

November 19, 2012 by hgpu

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Michel Muller

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Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, OpenACC, Tesla M2050, Thesis, Weather prediction, Weather Prediction Model

November 19, 2012 by hgpu

Parallel Search of k-Nearest Neighbors with Synchronous Operations

Nikos Sismanis, Nikos Pitsianis, Xiaobai Sun

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, nVidia GeForce GTX 480

November 19, 2012 by hgpu

Criticality of the XY model in complex topologies

Miguel Ibanez Berganza, Luca Leuzzi

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Tags: Condensed matter, CUDA, Numerical simulation, nVidia, nVidia GeForce GTX 480, Physics, Statistical Mechanics

November 19, 2012 by hgpu

Accelerated molecular dynamics force evaluation on graphics processing units for thermal conductivity calculations

Zheyong Fan, Topi Siro, Ari Harju

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, Molecular dynamics, nVidia, Physics, Tesla M2070

November 19, 2012 by hgpu

Facial Recognition Using Neural Networks over GPGPU

Juan Pablo Balarini, Sergio Nesmachnow, Martin Rodriguez

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 480

November 18, 2012 by hgpu

Using Graphics Processing Units to Parallelize the FDK Algorithm for Tomographic Image Reconstruction

Joel Sanchez Dominguez, Luiz Fernando de Oliveira, Nilton Alves Junior, Joaquim Teixeira de Assis

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Tags: Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce 9400 M, nVidia Quadro FX 2000

November 18, 2012 by hgpu

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

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

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high performance computing on graphics processing units: hgpu.org

Programming

Dataflow-driven GPU performance projection for multi-kernel transformations

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

MPC Toolbox with GPU Accelerated Optimization Algorithms

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

CUDA-enabled Optimisation of Technical Analysis Parameters

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Parallel Search of k-Nearest Neighbors with Synchronous Operations

Criticality of the XY model in complex topologies

Accelerated molecular dynamics force evaluation on graphics processing units for thermal conductivity calculations

Facial Recognition Using Neural Networks over GPGPU

Using Graphics Processing Units to Parallelize the FDK Algorithm for Tomographic Image Reconstruction

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

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

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