high performance computing on graphics processing units: hgpu.org

James Bergstra, Olivier Breuleux, Frederic Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, Yoshua Bengio

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Tags: Algorithms, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 285, Package, Python

December 12, 2011 by hgpu

Accelerating Swarm Intelligence Algorithms with GPU-Computing

Robin M. Weiss

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Tags: Algorithms, Cluster analysis, Clustering, Computer science, CUDA, Data mining, nVidia, Tesla C1060

December 11, 2011 by hgpu

Fast Face Detection Using Graphics Processor

Kailash Devrari, K.Vinay Kumar

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia Quadro FX 580

December 11, 2011 by hgpu

A Dynamic Approach to Weighted Suffix Tree Construction Algorithm

Binay Kumar Pandey, Rajdeep Niyogi, Ankush Mittal

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Tags: Algorithms, Cluster computing, Computer science, CUDA, nVidia, nVidia Quadro FX 3700, Suffix trees

December 11, 2011 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

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Developing an OO Model for Generalized Matrix Multiplication: Preliminary Considerations

Collision-Driven Volumetric Deformation on the GPU

Divergence Analysis with Affine Constraints

Design and study of a massively multi threaded shared memory architecture

Parallelization of an Ultrasound Reconstruction Algorithm for non Destructive Testing on Multicore CPU and GPU

Parallel Evaluation of a Spatial Traversability Cost Function on GPU for Efficient Path Planning

A fast and intuitive visual programming language (VPL) for constructing Computer Vision and Image processing systems on GPUs

Theano: A CPU and GPU Math Compiler in Python

Accelerating Swarm Intelligence Algorithms with GPU-Computing

Fast Face Detection Using Graphics Processor

A Dynamic Approach to Weighted Suffix Tree Construction Algorithm

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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