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CuBA – a CUDA implementation of BAMPS

Nuno Cardoso, Pedro Bicudo, Ulrike Eilhauer, Ioanni Bouras

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Tags: CUDA, High Energy Physics - Phenomenology, nVidia, Physics

August 7, 2012 by hgpu

Swarm-NG: a CUDA Library for Parallel n-body Integrations with focus on Simulations of Planetary Systems

Saleh Dindar, Eric B. Ford, Mario Juric, Young In Yeo, Jianwei Gao, Aaron C. Boley, Benjamin Nelson, Jorg Peters

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Tags: Astrophysics, CUDA, Differential equations, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, Mathematical Software, N-body simulation, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Package, Tesla C2070, Tesla M2070, Tesla T10

August 7, 2012 by hgpu

Accelerating Cryptographic Primitives with GPUs

Patrick Carpenter

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Tags: Computer science, CUDA, Hashing, nVidia, Review, Security

August 6, 2012 by hgpu

Coordinated system level resource management for heterogeneous many-core platforms

Vishakha Gupta

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9800 GTX, Thesis

August 6, 2012 by hgpu

Comparison of OpenMP & OpenCL Parallel Processing Technologies

Krishnahari Thouti, S.R.Sathe

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Tags: Benchmarking, Computer science, nVidia, nVidia Quadro FX 3800, OpenCL, OpenMP, Performance

August 6, 2012 by hgpu

Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography

Stephan Wenger, Marco Ament, Stefan Guthe, Dirk Lorenz, Andreas Tillmann, Daniel Weiskopf, Marcus Magnor

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Rendering, Sensing, Tomography, Visualization

August 6, 2012 by hgpu

Improving GPU Sparse Matrix-Vector Multiplication for Probabilistic Model Checking

Anton J. Wijs, Dragan Bosnacki

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Probabilistic model checking, Sparse matrix

August 6, 2012 by hgpu

On Parallel Software Verification using Boolean Equation Systems

Alexander Ditter, Milan Ceska, Gerald Luttgen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480

August 6, 2012 by hgpu

Algorithms for the mapping of genome sequences in GPGPU

David Seide

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Tags: Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 280, Sequence alignment, Thesis

August 5, 2012 by hgpu

GPU and CPU Cooperative Accelaration for Face Detection on Modern Processors

Eric Li, Bin Wang, Liu Yang, Ya-ti Peng, Yangzhou Du, Yimin Zhang, Yi-Jen Chiu

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 430

August 5, 2012 by hgpu

Clustering Based Search Algorithm For Motion Estimation

Ke Chen, Zhong Zhou, Wei Wu

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Search

August 5, 2012 by hgpu

Modeling of Heat Diffusion Through Isotropic Media Using Graphical Processing Units

C. A. Nahas, C.V. Krishnamurthy, Prabhu Rajagopal, Krishnan Balasubramaniam

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Tags: CUDA, FDTD, Finite difference, Finite-difference time-domain, nVidia, nVidia GeForce 9800 GT, Physics

August 5, 2012 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

See all packages

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high performance computing on graphics processing units: hgpu.org

CuBA – a CUDA implementation of BAMPS

Swarm-NG: a CUDA Library for Parallel n-body Integrations with focus on Simulations of Planetary Systems

Accelerating Cryptographic Primitives with GPUs

Coordinated system level resource management for heterogeneous many-core platforms

Comparison of OpenMP & OpenCL Parallel Processing Technologies

Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography

Improving GPU Sparse Matrix-Vector Multiplication for Probabilistic Model Checking

On Parallel Software Verification using Boolean Equation Systems

Algorithms for the mapping of genome sequences in GPGPU

GPU and CPU Cooperative Accelaration for Face Detection on Modern Processors

Clustering Based Search Algorithm For Motion Estimation

Modeling of Heat Diffusion Through Isotropic Media Using Graphical Processing Units

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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