CUDA | Page 257 | hgpu.org

Programming

Accelerating Pairwise DNA Sequence Alignment using the CUDA Compatible GPU

H. Khaled, R. El Gohary, N. L. Badr, H. M. Faheem

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GT 540 M, Sequence alignment, Smith-Waterman algorithm

December 22, 2013 by hgpu

Architecting an LTE Base Station with Graphics Processing Units

Q. Zheng, Y. Chen, R. Dreslinski, C. Chakrabarti, A. Anastasopoulos, S. Mahlke, T. Mudge

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Wireless baseband architecture

December 21, 2013 by hgpu

GPU Accelerated Graph SLAM and Occupancy Voxel Based ICP For Encoder-Free Mobile Robots

Adrian Ratter, Claude Sammut, Matthew McGill

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570

December 21, 2013 by hgpu

Parallel Compact Genetic Algorithm on CUDA-C Platform

Vuppuluri Sumati

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Genetic programming, nVidia

December 21, 2013 by hgpu

Videogame Graphics, BigData & Analytics

Eamonn Killian

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Tags: Book, Computer science, CUDA, Games, OpenCL, OpenGL

December 21, 2013 by hgpu

Design and Optimization of OpenFOAM-based CFD Applications for Modern Hybrid and Heterogeneous HPC Platforms

Amani AlOnazi

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Tags: Algorithms, Conjugate gradient solver, CUDA, Fluid dynamics, Heterogeneous systems, Laplace and Poisson equation, Linear Algebra, MPI, Numerical simulation, nVidia, Tesla C2050, Thesis

December 21, 2013 by hgpu

Warps and Atomics: Beyond Barrier Synchronization in the Verification of GPU Kernels

Ethel Bardsley, Alastair F. Donaldson

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Source codes

Tags: Benchmarking, Computer science, CUDA, nVidia, OpenCL, Package, Python

December 20, 2013 by hgpu

Adapting the GA Approach to Solve Traveling Salesman Problems on CUDA Architecture

Ugur Cekmez, Mustafa Ozsiginan, Ozgur Koray Sahingoz

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 740 M, Path problems, Vehicular traffic

December 20, 2013 by hgpu

Towards global composition of performance-aware components for GPU-based systems

Usman Dastgeer, Christoph Kessler

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Tags: Computer science, CUDA, Flow analysis, Heterogeneous systems, nVidia, Task scheduling, Tesla C2050

December 20, 2013 by hgpu

Optimizing GPU to GPU Communication on Cray XK7

Jeff M. Larkin

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Tags: Computer science, CUDA, MPI, nVidia, OpenACC, Tesla K20

December 19, 2013 by hgpu

Experiences Porting a Molecular Dynamics Code to GPUs on a Cray XK7

Donald K. Berry, Joseph Schuchart, Robert Henschel

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Tags: CUDA, Fortran, Molecular dynamics, MPI, nVidia, OpenACC, Physics, Tesla K20

December 19, 2013 by hgpu

A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering

Ying Song, Wencheng Wang

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Tags: 3D Graphics and Realism, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 480

December 19, 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

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

Accelerating Pairwise DNA Sequence Alignment using the CUDA Compatible GPU

Architecting an LTE Base Station with Graphics Processing Units

GPU Accelerated Graph SLAM and Occupancy Voxel Based ICP For Encoder-Free Mobile Robots

Parallel Compact Genetic Algorithm on CUDA-C Platform

Videogame Graphics, BigData & Analytics

Design and Optimization of OpenFOAM-based CFD Applications for Modern Hybrid and Heterogeneous HPC Platforms

Warps and Atomics: Beyond Barrier Synchronization in the Verification of GPU Kernels

Adapting the GA Approach to Solve Traveling Salesman Problems on CUDA Architecture

Towards global composition of performance-aware components for GPU-based systems

Optimizing GPU to GPU Communication on Cray XK7

Experiences Porting a Molecular Dynamics Code to GPUs on a Cray XK7

A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering

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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