high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

Sanjay Chatterjee, Max Grossman, Alina Sbirlea, Vivek Sarkar

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Tags: Computer science, CUDA, Data parallelism, nVidia, Task scheduling, Tesla C2050

November 29, 2011 by hgpu

Directives Based Programming of GPU Accelerated Systems

Saif Mulla

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Tags: Computer science, CUDA, Molecular dynamics, nVidia, Programming techniques, Tesla C2050, Thesis

November 29, 2011 by hgpu

Enabling Efficient Online Profiling of Homogeneous and Heterogeneous Multicore Systems

Dan Upton

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Thesis

November 29, 2011 by hgpu

GPGPU Volume Classification using SimpleOpenCL

Oscar Amoros, Sergio Escalera, Anna Puig, Maria Salamo

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Source codes

Tags: Computer science, nVidia, nVidia GeForce GTX 470, OpenCL, Package, Visualization

November 29, 2011 by hgpu

Solving Dense Generalized Eigenproblems on Multi-threaded Architectures

Jose I. Aliaga, Paolo Bientinesi, Davor Davidovic, Edoardo Di Napoli, Francisco D. Igual, Enrique S. Quintana-Orti

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Tags: Computer science, CUDA, Linear Algebra, Mathematical Software, Molecular dynamics, nVidia, Performance, Tesla C2050

November 29, 2011 by hgpu

A GPU-based survey for millisecond radio transients using ARTEMIS

W. Armour, A. Karastergiou, M. Giles, C. Williams, A. Magro, K. Zagkouris, S. Roberts, S. Salvini, F. Dulwich, B. Mort

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Tags: Algorithms, Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, Overview, Tesla M2050

November 29, 2011 by hgpu

On the numerical sensitivity of computer simulations on hybrid and parallel computing systems

Wenbin Li, Sven Simon, Steffen Kiess

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Tags: Algorithms, Computer science, CUDA, Floating point error, Hybrid computing, nVidia, nVidia GeForce GTX 480

November 28, 2011 by hgpu

Accelerating the Hough Transform with CUDA on Graphics Processing Units

Su Chen, Hai Jiang

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Tags: Algorithms, CUDA, Image processing, nVidia, Tesla C2050

November 28, 2011 by hgpu

Compute-unified device architecture implementation of a block-matching algorithm for multiple graphical processing unit cards

Francesc Massanes, Marie Cadennes, Jovan G. Brankov

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Tags: Algorithms, Computational Complexity, CUDA, H.264/AVC, Image processing, nVidia, Optical flow, Tesla C1060, Tesla C2070

November 28, 2011 by hgpu

Anytime Algorithms for GPU Architectures

Rahul Mangharam, Aminreza Abrahimi Saba

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Tags: Algorithms, Computer science, CUDA, nVidia, Vehicular traffic

November 28, 2011 by hgpu

A hybrid parallel framework for computational solid mechanics

Piotr Fidkowski

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Tags: CUDA, Hybrid computing, MPI, nVidia, Physics, Tesla C1060, Thesis

November 28, 2011 by hgpu

Molecular Dynamics Simulation Based on Hadoop MapReduce

Chen He

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Tags: Chemistry, Cluster computing, CUDA, MapReduce, Molecular dynamics, nVidia, nVidia GeForce 9400 GT, Physics, Thesis

November 28, 2011 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

Directives Based Programming of GPU Accelerated Systems

Enabling Efficient Online Profiling of Homogeneous and Heterogeneous Multicore Systems

GPGPU Volume Classification using SimpleOpenCL

Solving Dense Generalized Eigenproblems on Multi-threaded Architectures

A GPU-based survey for millisecond radio transients using ARTEMIS

On the numerical sensitivity of computer simulations on hybrid and parallel computing systems

Accelerating the Hough Transform with CUDA on Graphics Processing Units

Compute-unified device architecture implementation of a block-matching algorithm for multiple graphical processing unit cards

Anytime Algorithms for GPU Architectures

A hybrid parallel framework for computational solid mechanics

Molecular Dynamics Simulation Based on Hadoop MapReduce

Recent source codes

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

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