high performance computing on graphics processing units: hgpu.org

hgpu.org » Optimization

GPU Implementation of a Multiobjective Search Algorithm

Steffen Limmer, Dietmar Fey, Johannes Jahn

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Search, Tesla C2050

January 13, 2012 by hgpu

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

Jiwon Seo, Yu-Hsuan Chen, David S. De Lorenzo, Sherman Lo, Per Enge, Dennis Akos, Jiyun Lee

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Tags: CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Signal processing

January 13, 2012 by hgpu

Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms

Hartwig Anzt, Vincent Heuveline, Jose I. Aliaga, Maribel Castillo, Juan C. Fernandez, Rafael Mayo, Enrique S. Quintana-Orti

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, nVidia, Optimization, Sparse linear iterative solvers, Tesla C1060

January 11, 2012 by hgpu

Petaflop biofluidics simulations on a two million-core system

Massimo Bernaschi, Satoshi Matsuoka, Mauro Bisson, Massimiliano Fatica, Toshio Endo, Simone Melchionna

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Tags: Algorithms, Biology, CUDA, GPU cluster, Medicine, nVidia, Optimization, Tesla M2050

January 11, 2012 by hgpu

High Precision Integer Multiplication with a GPU Using Strassen’s Algorithm with Multiple FFT Sizes

Niall Emmart, Charles C. Weems

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Optimization

January 11, 2012 by hgpu

Generating, Optimizing, and Scheduling a Compiler Level Representation of Stream Parallelism

Jeffrey M. Fifield

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Tags: Computer science, Heterogeneous systems, OpenCL, Optimization, Thesis

January 10, 2012 by hgpu

Makespan computation for GPU threads running on a single streaming multiprocessor

Kostiantyn Berezovskyi, Konstantinos Bletsas, Bjorn Andersson

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Tags: Computer science, CUDA, nVidia, Optimization, Timing analysis

January 8, 2012 by hgpu

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

Noriyuki Kushida

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Finite difference, Optimization, Physics, Plasma physics

January 7, 2012 by hgpu

Optimizing a Biomedical Imaging Orientation Score Framework

Chidiebere Okwudire, Martin Palatnik, Xu Zhang, Tanya Kudchadker

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Tags: Computational Complexity, CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce GTX 570, Optimization

January 6, 2012 by hgpu

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Yifeng Chen, Xiang Cui, Hong Mei

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Tags: Code generation, Computer science, CUDA, FFT, GPU cluster, Heterogeneous systems, MPI, nVidia, Optimization, Performance, Programming techniques, Pthreads, Tesla C1060

January 5, 2012 by hgpu

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

Jing-yu Cui, Guillem Pratx, Sven Prevrhal, Craig S. Levin

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Tags: Algorithms, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Optimization, PET, Tomography

January 5, 2012 by hgpu

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Guillaume Sevestre

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Source codes

Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTS 250, nVidia Quadro FX 370 M, Optimization, Package, Security, Stream Ciphers

January 5, 2012 by hgpu

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

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high performance computing on graphics processing units: hgpu.org

GPU Implementation of a Multiobjective Search Algorithm

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms

Petaflop biofluidics simulations on a two million-core system

High Precision Integer Multiplication with a GPU Using Strassen’s Algorithm with Multiple FFT Sizes

Generating, Optimizing, and Scheduling a Compiler Level Representation of Stream Parallelism

Makespan computation for GPU threads running on a single streaming multiprocessor

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

Optimizing a Biomedical Imaging Orientation Score Framework

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Recent source codes

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

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