high performance computing on graphics processing units: hgpu.org

David Pierson Bradway, Michael Johannes Pihl, Andreas Krebs, Borislav Gueorguiev Tomov, Carsten Straso Kjaer, Svetoslav Ivanov Nikolov, Jorgen Arendt Jensen

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Tags: Algorithms, ATI, ATI Radeon HD 7850, Image processing, OpenCL, Ultrasound, Visualization

February 26, 2014 by hgpu

Comparative evaluation of platforms for parallel Ant Colony Optimization

Gines D. Guerrero, Jose M. Cecilia, Antonio Llanes, Jose M. Garcia, Martyn Amos, Manuel Ujaldon

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Tags: Algorithms, APU, ATI FirePro V8800, ATI Radeon HD 6310, ATI Radeon HD 6520, ATI Radeon HD 6650 M, Computer science, OpenCL, Optimization, Tesla C2050

February 26, 2014 by hgpu

Full-Speed Deterministic Bit-Accurate Parallel Floating-Point Summation on Multi- and Many-Core Architectures

Sylvain Collange, David Defour, Stef Graillat, Roman Iakymchuk

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Extended precision, Intel Xeon Phi, nVidia, OpenCL, Tesla K20

February 26, 2014 by hgpu

An Evaluation of the GAMA/StarPU Frameworks for Heterogeneous Platforms: the Progressive Photon Mapping Algorithm

Miguel Branco Palhas

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Heterogeneous systems, Memory model, nVidia, Rendering, Tesla K20, Tesla M2090, Thesis

February 25, 2014 by hgpu

Fast Feature Selection in a GPU Cluster Using the Delta Test

Alberto Guillen, M. Isabel Garcia Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Hector Pomares, Ignacio Rojas

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Nearest neighbour, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9800 GTX, nVidia GeForce GTS 450

February 25, 2014 by hgpu

A GaBP-GPU Algorithm of Solving Large-Scale Sparse Linear Systems

Hanyuan Zheng, Anping Song, Zhixiang Liu, Lei Xu, Wu Zhang

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Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla C1060

February 25, 2014 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

Applications of Linux-Based QT-CUDA Parallel Architecture

Reducing Beamforming Calculation Time with GPU Accelerated Algorithms

A Multi GPU Read Alignment Algorithm with Model-based Performance Optimization

Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms

Scheduling data flow program in xkaapi: A new affinity based Algorithm for Heterogeneous Architectures

Parallel dual tree traversal on multi-core and many-core architectures for astrophysical N-body simulations

Real-Time GPU Implementation of Transverse Oscillation Vector Velocity Flow Imaging

Comparative evaluation of platforms for parallel Ant Colony Optimization

Full-Speed Deterministic Bit-Accurate Parallel Floating-Point Summation on Multi- and Many-Core Architectures

An Evaluation of the GAMA/StarPU Frameworks for Heterogeneous Platforms: the Progressive Photon Mapping Algorithm

Fast Feature Selection in a GPU Cluster Using the Delta Test

A GaBP-GPU Algorithm of Solving Large-Scale Sparse Linear Systems

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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