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An events based algorithm for distributing concurrent tasks on multi-core architectures

David W. Holmes, John R. Williams, Peter Tilke

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Tags: Algorithms, Computer science, Performance, Task scheduling

January 11, 2011 by hgpu

Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method

Aparna Chandramowlishwarany, Kamesh Madduri, Richard Vuduc

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Tags: Computer science, Fast multipole method, Optimization, Performance

January 11, 2011 by hgpu

iNFAnt: NFA pattern matching on GPGPU devices

Niccolo' Cascarano, Pierluigi Rolando, Fulvio Risso, Riccardo Sisto

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Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 260, String matching

January 11, 2011 by hgpu

Accelerating linpack with CUDA on heterogenous clusters

Massimiliano Fatica

Tags: Computer science, CUDA, GPU cluster, Linear Algebra, nVidia

January 11, 2011 by hgpu

FCUDA: Enabling Efficient Compilation of CUDA Kernels onto FPGAs

Ros Papakonstantinou, Karthik Gururaj, John A. Stratton, Deming Chen, Jason Cong, Wen-mei W. Hwu

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Tags: Compilers, Computer science, CUDA, FPGA, High-level Languages

January 11, 2011 by hgpu

High-performance CUDA kernel execution on FPGAs

Alexandros Papakonstantinou, Karthik Gururaj, John A. Stratton, Deming Chen, Jason Cong, Wen Mei

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Tags: Computer science, CUDA, FPGA, Performance, Programming techniques

January 11, 2011 by hgpu

High-speed volume ray casting with CUDA

L. Marsalek, A. Hauber, P. Slusallek

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Tags: Computer science, CUDA, nVidia, Poster, Real-time graphics

January 10, 2011 by hgpu

Canny edge detection on NVIDIA CUDA

Yuancheng Luo, Ramani Duraiswami

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Package

January 10, 2011 by hgpu

Comparing Hardware Accelerators in Scientific Applications: A Case Study

Rick Weber, Akila Gothandaraman, Robert J. Hinde, Gregory D. Peterson

Tags: ATI, Brook, Computer science, CUDA, FPGA, nVidia, OpenCL, Performance

January 10, 2011 by hgpu

Neville elimination on multi- and many-core systems: OpenMP, MPI and CUDA

P. Alonso, R. Cortina, F. Martinez-Zaldivar, J. Ranilla

Tags: Computer science, CUBLAS, CUDA, MPI, nVidia, OpenMP

January 10, 2011 by hgpu

Importance sampling algorithms for first passage time probabilities in the infinite server queue

Ad Ridder

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Tags: Algorithms, Computer science, Monte Carlo simulation

January 10, 2011 by hgpu

Dense optical flow by iterative local window registration

G. Le Besnerais, F. Champagnat

Tags: Computer science, CUDA, nVidia, Optical flow

January 10, 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

An events based algorithm for distributing concurrent tasks on multi-core architectures

Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method

iNFAnt: NFA pattern matching on GPGPU devices

Accelerating linpack with CUDA on heterogenous clusters

FCUDA: Enabling Efficient Compilation of CUDA Kernels onto FPGAs

High-performance CUDA kernel execution on FPGAs

High-speed volume ray casting with CUDA

Canny edge detection on NVIDIA CUDA

Comparing Hardware Accelerators in Scientific Applications: A Case Study

Neville elimination on multi- and many-core systems: OpenMP, MPI and CUDA

Importance sampling algorithms for first passage time probabilities in the infinite server queue

Dense optical flow by iterative local window registration

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)