high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Automatic Generation of Multicore Chemical Kernels

John C. Linford, John Michalakes, Manish Vachharajani, Adrian Sandu

Tags: Cell processor, Chemistry, Code generation, Computer science, CUDA, nVidia, OpenMP

March 6, 2011 by hgpu

Task management for irregular-parallel workloads on the GPU

Stanley Tzeng, Anjul Patney, John D. Owens

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Performance, Presentation, Task scheduling

March 6, 2011 by hgpu

Dynamic load balancing on single- and multi-GPU systems

Long Chen, Oreste Villa, Sriram Krishnamoorthy, Guang R. Gao

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Task scheduling, Tesla C1060

March 6, 2011 by hgpu

Data Mining Using Graphics Processing Units

Christian Bohm, Robert Noll, Claudia Plant, Bianca Wackersreuther and Andrew Zherdin

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 280

March 5, 2011 by hgpu

Parallel Computing: The Elephant in the Room

Patrick H. Madden

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Tags: Algorithms, Computer science, Performance, Review

March 5, 2011 by hgpu

Inter-Block GPU Communication via Fast Barrier Synchronization

Shucai Xiao, Wu-chun Feng

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 280, Performance, Sorting

March 5, 2011 by hgpu

Designing Efficient Many-Core Parallel Algorithms for All-Pairs Shortest-Paths Using CUDA

Quoc-Nam Tran

Tags: Algorithms, Computer science, CUDA, nVidia, Path problems

March 5, 2011 by hgpu

A Stream Processor Cluster Architecture Model with the Hybrid Technology of MPI and CUDA

Qing-kui Chen, Jia-kang Zhang

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Programming techniques

March 4, 2011 by hgpu

Formal Description and Optimization Based High – Performance Computing on CUDA

Bo Li, Huacheng Zhao, Jingjing Liang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, Optimization, Programming techniques

March 4, 2011 by hgpu

Scene Recognition Acceleration Using CUDA and OpenMP

Yuxin Wang, Zhen Feng, He Guo, Changqin He, Yuansheng Yang

Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 4, 2011 by hgpu

Towards a Software Transactional Memory for Graphics Processors

Daniel Cederman, Philippas Tsigas and Muhammad Tayyab Chaudhry

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, Programming techniques

March 4, 2011 by hgpu

Architecture-Aware Optimization Targeting Multithreaded Stream Computing

Byunghyun Jang, Synho Do, Homer Pien, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, Optimization, Programming techniques

March 4, 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

Automatic Generation of Multicore Chemical Kernels

Task management for irregular-parallel workloads on the GPU

Dynamic load balancing on single- and multi-GPU systems

Data Mining Using Graphics Processing Units

Parallel Computing: The Elephant in the Room

Inter-Block GPU Communication via Fast Barrier Synchronization

Designing Efficient Many-Core Parallel Algorithms for All-Pairs Shortest-Paths Using CUDA

A Stream Processor Cluster Architecture Model with the Hybrid Technology of MPI and CUDA

Formal Description and Optimization Based High – Performance Computing on CUDA

Scene Recognition Acceleration Using CUDA and OpenMP

Towards a Software Transactional Memory for Graphics Processors

Architecture-Aware Optimization Targeting Multithreaded Stream Computing

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

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