high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

A mobile robot navigation with use of CUDA parallel architecture

Barbara Siemiatkowska, Jacek Szklarski, Michal Gnatowski, Adam Borkowski, Piotr Weclewski

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9300 M, Sensing

November 5, 2011 by hgpu

Real-time Flame Rendering with GPU and CUDA

Wei Wei,Yanqiong Huang

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce 7600 GS, OpenGL, Particle simulation, Rendering

November 5, 2011 by hgpu

PEPSC: A Power-Efficient Processor for Scientific Computing

Ganesh Dasika, Ankit Sethia, Trevor Mudge, Scott Mahlke

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Tags: Computer science, Energy-efficient computing, Hardware Architecture, nVidia, nVidia GeForce GTX 285, Prefetch

November 4, 2011 by hgpu

Semi-Global Matching-Motivation, Developments and Applications

Heiko Hirschmuller

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Tags: Computer science, Computer vision, FPGA, nVidia, nVidia GeForce GTX 275, OpenCL, OpenGL, Sensing

November 4, 2011 by hgpu

Inter-cluster communication on clustered SIMD architectures

Kris Hoogendoorn

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Tags: Computer science, Hardware Architecture, nVidia, nVidia GeForce GTX 580

November 4, 2011 by hgpu

Computing Optimal Cycle Mean in Parallel on CUDA

Jiri Barnat, Petr Bauch, Lubos Brim, Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 480, Optimization

November 4, 2011 by hgpu

Performance Portability of a GPU Enabled Factorization with the DAGuE Framework

George Bosilca, Aurelien Bouteiller, Thomas Herault, Pierre Lemarinier, Narapat Ohm Saengpatsa, Stanimire Tomov, Jack J. Dongarra

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Tags: Computer science, Factorization, GPU cluster, Heterogeneous systems, Linear Algebra, nVidia, Performance, Tesla C1060, Tesla C2050, Tesla S1070

November 3, 2011 by hgpu

Applicability of GPU Computing for Efficient Merge in In-Memory Databases

Jens Krueger, Martin Grund, Ingo Jaeckel, Alexander Zeier, Hasso Plattner

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Tags: Algorithms, Compression, Computer science, CUDA, Databases, nVidia, Tesla C2050

November 3, 2011 by hgpu

Topology Optimization with Unstructured Meshes on Graphics Processing Units (GPUs)

Tomas Zegard Latrach

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Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, Optimization, Tesla T10, Thesis

November 3, 2011 by hgpu

Efficient Quicksort and 2D Convex Hull for CUDA, and MSIMD as a Realistic Model of Massively Parallel Computations

Tomasz Jurkiewicz, Piotr Danilewski

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Sorting

November 3, 2011 by hgpu

A Comparison of Many-threaded Differential Evolution and Genetic Algorithms on CUDA

Pavel Kromer, Jan Platos, Vaclav Snasel, Ajith Abraham

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Tags: Algorithms, Computer science, CUDA, Differential evolution, Genetic programming, Metaheuristics, nVidia, Task scheduling, Tesla C2050

November 2, 2011 by hgpu

Multi-view Rendering Approach for Cloud-based Gaming Services

Sung-Soo Kim, Kyoung-Ill Kim, Jongho Won

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Tags: Algorithms, Cloud, Computer science, DirectX, Games, HLSL, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 4000, Rendering

November 2, 2011 by hgpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

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

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A mobile robot navigation with use of CUDA parallel architecture

Real-time Flame Rendering with GPU and CUDA

PEPSC: A Power-Efficient Processor for Scientific Computing

Semi-Global Matching-Motivation, Developments and Applications

Inter-cluster communication on clustered SIMD architectures

Computing Optimal Cycle Mean in Parallel on CUDA

Performance Portability of a GPU Enabled Factorization with the DAGuE Framework

Applicability of GPU Computing for Efficient Merge in In-Memory Databases

Topology Optimization with Unstructured Meshes on Graphics Processing Units (GPUs)

Efficient Quicksort and 2D Convex Hull for CUDA, and MSIMD as a Realistic Model of Massively Parallel Computations

A Comparison of Many-threaded Differential Evolution and Genetic Algorithms on CUDA

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

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

Device Virtual Machine (DVM)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

Most viewed papers (last 30 days)