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hgpu.org » Applications » Computer science

A Tuning Framework for Software-Managed Memory Hierarchies

Manman Ren, Ji Young Park, Mike Houston, Alex Aiken, William J. Dally

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Tags: Algorithms, Cell processor, Compilers, Computer science, Optimization, Performance, Playstation, Programming Languages

February 26, 2011 by hgpu

Believe it or Not! Multi-core CPUs Can Match GPU Performance for FLOP-intensive Application!

Rajesh Bordawekar, Uday Bondhugula, Ravi Rao

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Performance, Programming techniques

February 26, 2011 by hgpu

Real-Time Approaches to Computer Vision

Ron Tal

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Tags: Algorithms, Computer science, Computer vision, CUDA, FPGA, nVidia

February 26, 2011 by hgpu

GPU-Based Foreground-Background Segmentation Using an Extended Colinearity Criterion

Andreas Griesser, Stefaan De Roeck, Alexander Neubeck, Luc Van Gool

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Tags: Cg, Computer vision, Image processing, nVidia, nVidia GeForce 6800 GT, Real-time graphics

February 26, 2011 by hgpu

Concurrent GPU Programming

Lesley Northam

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 M GTX, Programming techniques, Review

February 26, 2011 by hgpu

A Watermarking Co-Processor for New Generation Graphics Processing Units

Saraju P. Mohanty, Nishikanta Pati, Elias Kougianos

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Tags: Algorithms, Image processing, Security

February 26, 2011 by hgpu

Handbook of open source tools

Sandeep Koranne

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Tags: Book, Cluster computing, Computer science, CUDA, MPI, nVidia, OpenCL, Pthreads

February 26, 2011 by hgpu

Interactive multiple anisotropic scattering in clouds

Antoine Bouthors, Fabrice Neyret, Nelson Max, Eric Bruneton, Cyril Crassin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTS

February 25, 2011 by hgpu

OpenGL application live migration with GPU acceleration in personal cloud

Yunbiao Lin, Wei Wang, Kyle Gui

Tags: Algorithms, Computer science, OpenGL, Software Engineering, Virtualization

February 25, 2011 by hgpu

Achieving a single compute device image in OpenCL for multiple GPUs

Jungwon Kim, Honggyu Kim, Joo H. Lee, Jaejin Lee

Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, OpenCL, Optimization

February 25, 2011 by hgpu

Statistical Power Consumption Analysis and Modeling for GPU-based Computing

Xiaohan Ma, Mian Dong, Lin Zhong, Zhigang Deng

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GT

February 24, 2011 by hgpu

Barra, a Modular Functional GPU Simulator for GPGPU

Sylvain Collange, David Defour, David Parello

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Package, Performance

February 24, 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 Tuning Framework for Software-Managed Memory Hierarchies

Believe it or Not! Multi-core CPUs Can Match GPU Performance for FLOP-intensive Application!

Real-Time Approaches to Computer Vision

GPU-Based Foreground-Background Segmentation Using an Extended Colinearity Criterion

Concurrent GPU Programming

A Watermarking Co-Processor for New Generation Graphics Processing Units

Handbook of open source tools

Interactive multiple anisotropic scattering in clouds

OpenGL application live migration with GPU acceleration in personal cloud

Achieving a single compute device image in OpenCL for multiple GPUs

Statistical Power Consumption Analysis and Modeling for GPU-based Computing

Barra, a Modular Functional GPU Simulator for GPGPU

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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