high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Median Based Parallel Steering Kernel Regression for Image Reconstruction

G Dada Khalandhar, V Sai Ram, M Srinivasa Rao, Lalith Srikanth C, Pallav Kumar Baruah, Balasubramanian S, R Raghunatha Sarma

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, nVidia, Tesla T20

August 23, 2013 by hgpu

Serial and Parallel Bayesian Spam Filtering using Aho-Corasick and PFAC

Saima Haseeb, Mahak Motwani, Amit Saxena

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Tags: Algorithms, ATI, ATI Radeon HD 6870, Bayesian, Computer science, Filtering, OpenCL, Security, String matching

August 23, 2013 by hgpu

Comparative Analysis of OpenACC, OpenMP and CUDA using Sequential and Parallel Algorithms

Cleverson Lopes Ledur, Carlos M. D. Zeve, Julio C. S. dos Anjos

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 650, OpenACC, OpenMP, Performance

August 21, 2013 by hgpu

Comparison of Cilk, Kaapi and CUDA for the Jacobi Method

Luis Felipe Millani, Nicolas Maillard

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance

August 21, 2013 by hgpu

Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS

Sebastian Bress

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Tags: Algorithms, Computer science, Databases, Heterogeneous systems

August 21, 2013 by hgpu

Parallel Voronoi Diagram computation on scaled distance planes using CUDA

Julio Toss, Joao Comba

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Voronoi diagram

August 21, 2013 by hgpu

Accurate Analytic Models to Estimate Execution Time on GPU Applications

Pedro Velho, Daniel A. G. de Oliveira, Edson L. Padoin, Philippe O. A. Navaux

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance, Programming techniques

August 21, 2013 by hgpu

Efficient Heterogeneous Execution on Large Multicore and Accelerator Platforms: Case Study Using a Block Tridiagonal Solver

Alfred J. Park, Kalyan S. Perumalla

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Tags: Computer science, CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Tesla X2090

August 20, 2013 by hgpu

Simulating Dam-Break Flooding with Floating Objects through Intricate City Layouts Using GPU-based SPH Method

Jiansong Wu, Hui Zhang, Robert A. Dalrymple

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Tags: CUDA, Earth and Space Sciences, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, Package, Tesla C2075

August 20, 2013 by hgpu

Using Modularity Metrics to assist Move Method Refactoring of Large System

Christian Napoli, Giuseppe Pappalardo, Emiliano Tramontana

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Software Engineering, Tesla M2070

August 20, 2013 by hgpu

Advanced CFD Modeling Using GeForce GPUs

Auro Ashish Saha, P. Balamurugan, K. Raj Kiran, B. Padma, A. Ramkumar

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Tags: CUDA, Electrodynamics, Fluid dynamics, nVidia, nVidia GeForce GTX 560 Ti, Physics

August 20, 2013 by hgpu

Implementing Molecular Dynamics on Hybrid High Performance Computers – Three-Body Potentials

W. Michael Brown, Masako Yamada

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Tags: Algorithms, Chemistry, CUDA, Molecular dynamics, nVidia, Package, Physics, Tesla K20

August 20, 2013 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

Median Based Parallel Steering Kernel Regression for Image Reconstruction

Serial and Parallel Bayesian Spam Filtering using Aho-Corasick and PFAC

Comparative Analysis of OpenACC, OpenMP and CUDA using Sequential and Parallel Algorithms

Comparison of Cilk, Kaapi and CUDA for the Jacobi Method

Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS

Parallel Voronoi Diagram computation on scaled distance planes using CUDA

Accurate Analytic Models to Estimate Execution Time on GPU Applications

Efficient Heterogeneous Execution on Large Multicore and Accelerator Platforms: Case Study Using a Block Tridiagonal Solver

Simulating Dam-Break Flooding with Floating Objects through Intricate City Layouts Using GPU-based SPH Method

Using Modularity Metrics to assist Move Method Refactoring of Large System

Advanced CFD Modeling Using GeForce GPUs

Implementing Molecular Dynamics on Hybrid High Performance Computers – Three-Body Potentials

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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