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Parallel Computing based on GPGPU using Compute Unified Device Architecture

Lifeng Xu

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, OpenMP, Optimization, Thesis

October 1, 2011 by hgpu

Correctly Treating Synchronizations in Compiling Fine-Grained SPMD-Threaded Programs for CPU

Ziyu Guo, Eddy Z. Zhang, Xipeng Shen

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia

October 1, 2011 by hgpu

Optimizing a Semantic Comparator using CUDA-enabled Graphics Hardware

Aalap Tripathy, Suneil Mohan, Rabi Mahapatra

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Tags: Bloom filter, Computer science, CUDA, Green, Hashing, nVidia, Semantic indexing, Tesla C870

October 1, 2011 by hgpu

A Comprehensive Performance Comparison of CUDA and OpenCL

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Cell processor, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Optimization, Performance

October 1, 2011 by hgpu

Accelerating Vector Calculations on GPU

Karol Grondzak, Penka Martincova, Ondrej Such

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Tags: Algorithms, Computer science, CUDA, nVidia, Performance, Tesla C1060, Tutorial

October 1, 2011 by hgpu

Interactive Soft Tissue for Surgical Simulation

Gregory S. Ruthenbeck

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Tags: Algorithms, CUDA, Medicine, nVidia, nVidia GeForce GTX 280, Surgical simulation, Thesis, Virtual reality

October 1, 2011 by hgpu

Exploring The Latency and Bandwidth Tolerance of CUDA Applications

Gregory Diamos, Sudnya Padalikar

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, Memory, nVidia, Performance, PTX, Tesla C1060

September 30, 2011 by hgpu

Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems

Mayank Daga

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Heterogeneous systems, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Tesla C2050, Thesis

September 30, 2011 by hgpu

Real-Time Handling of GPU Interrupts in LITMUSRT

Glenn A. Elliott, Chih-Hao Sun, and James H. Anderson

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Operating systems

September 30, 2011 by hgpu

Enhancing Data Locality for Dynamic Simulations through Asynchronous Data Transformations and Adaptive Control

Bo Wu, Eddy Z. Zhang, Xipeng Shen

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Tags: Algorithms, Benchmarking, CMP, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Tesla S1070

September 30, 2011 by hgpu

A PTX Code Generator for LLVM

Helge Rhodin

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, Optimization, PTX, Thesis, Virtualization

September 30, 2011 by hgpu

Adaptable Two-Dimension Sliding Windows on NVIDIA GPUs with Runtime Compilation

Nicholas Moore, Miriam Leeser, Laurie Smith King

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 480

September 30, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallel Computing based on GPGPU using Compute Unified Device Architecture

Correctly Treating Synchronizations in Compiling Fine-Grained SPMD-Threaded Programs for CPU

Optimizing a Semantic Comparator using CUDA-enabled Graphics Hardware

A Comprehensive Performance Comparison of CUDA and OpenCL

Accelerating Vector Calculations on GPU

Interactive Soft Tissue for Surgical Simulation

Exploring The Latency and Bandwidth Tolerance of CUDA Applications

Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems

Real-Time Handling of GPU Interrupts in LITMUSRT

Enhancing Data Locality for Dynamic Simulations through Asynchronous Data Transformations and Adaptive Control

A PTX Code Generator for LLVM

Adaptable Two-Dimension Sliding Windows on NVIDIA GPUs with Runtime Compilation

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Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

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