high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Synthesis of Custom Networks of Heterogeneous Processing Elements for Complex Physical System Emulation

Chen Huang, Bailey Miller, Frank Vahid, Tony Givargis

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Tags: Computer science, CUDA, Differential equations, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, ODEs, Ordinary differential equations

August 23, 2013 by hgpu

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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Source codes

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

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Synthesis of Custom Networks of Heterogeneous Processing Elements for Complex Physical System Emulation

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

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

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

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