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GPU Accelerated Greedy Algorithms for Compressed Sensing

Jeffrey D. Blanchard, Jared Tanner

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

June 20, 2012 by hgpu

Towards a GPU-based Implementation of Interaction Nets

Eugen Jiresch

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 460, Package

June 20, 2012 by hgpu

Parallel Implementation of the Wu-Manber Algorithm Using the OpenCL Framework

Themistoklis K. Pyrgiotis, Charalampos S. Kouzinopoulos, Konstantinos G. Margaritis

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Tags: Algorithms, Biology, Computational biology, Databases, nVidia, nVidia GeForce GTX 280, OpenCL, Pattern Search, Sequence matching

June 20, 2012 by hgpu

Two Algorithms for Sorting On Heterogeneous Clusters

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter, Aparna Chandramowlishwaran, David Noble, Richard Vuduc

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, OpenMP, Sorting, Tesla M2070

June 19, 2012 by hgpu

Parallel Rendering on Hybrid Multi-GPU Clusters

S. Eilemann, A. Bilgili, M. Abdellah, J. Hernando, M. Makhinya, R. Pajarola, F. Schurmann

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Tags: 3D Graphics and Realism, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 580, OpenGL, Optimization, Rendering, Visualization

June 19, 2012 by hgpu

Optimizing dataflow applications on heterogeneous environments

George Teodoro, Timothy D. R. Hartley, Umit V. Catalyurek, Renato Ferreira

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 260, Tesla C2050

June 19, 2012 by hgpu

Efficient simulations of long wave propagation and runup using a LBM approach on GPGPU hardware

Christian F. Janssen, Stephan T. Grilli, Manfred Krafczyk

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla C2070, Wave equation

June 19, 2012 by hgpu

Implementing density functional theory (DFT) methods on many-core GPGPU accelerators

Bishwajit Mohan Gosswami

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Tags: Chemistry, CUDA, Density-functional theory, nVidia, Tesla C2070, Thesis

June 19, 2012 by hgpu

Gdev: First-Class GPU Resource Management in the Operating System

Shinpei Kato, Michael McThrow, Carlos Maltzahn, Scott Brandt

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Operating systems, Package

June 18, 2012 by hgpu

An Improved CUDA-Based Implementation of Differential Evolution on GPU

A. K. Qin, Federico Raimondo, Florence Forbes, Yew Soon Ong

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Tags: Computer science, CUDA, Differential evolution, nVidia, nVidia GeForce GTX 560

June 18, 2012 by hgpu

OpenCL for programming shared memory multicore CPUs

Akhtar Ali, Usman Dastgeer, Christoph Kessler

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla M2050

June 18, 2012 by hgpu

Solving the Vlasov equation for one-dimensional models with long range interactions on a GPU

Tarcisio M. Rocha Filho

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 590, Physics, Statistical Mechanics

June 18, 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

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high performance computing on graphics processing units: hgpu.org

GPU Accelerated Greedy Algorithms for Compressed Sensing

Towards a GPU-based Implementation of Interaction Nets

Parallel Implementation of the Wu-Manber Algorithm Using the OpenCL Framework

Two Algorithms for Sorting On Heterogeneous Clusters

Parallel Rendering on Hybrid Multi-GPU Clusters

Optimizing dataflow applications on heterogeneous environments

Efficient simulations of long wave propagation and runup using a LBM approach on GPGPU hardware

Implementing density functional theory (DFT) methods on many-core GPGPU accelerators

Gdev: First-Class GPU Resource Management in the Operating System

An Improved CUDA-Based Implementation of Differential Evolution on GPU

OpenCL for programming shared memory multicore CPUs

Solving the Vlasov equation for one-dimensional models with long range interactions on a GPU

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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