high performance computing on graphics processing units: hgpu.org

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CUTE solutions for two-point correlation functions from large cosmological datasets

David Alonso

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro NVS 4200 M, Package, Tesla C2070

October 8, 2012 by hgpu

GPGPU accelerated optimization method of Interconnection Network Topology

Vladimir Siladi, Ladislav Huraj, Michal Povinsky

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 9800 GT, Optimization

October 6, 2012 by hgpu

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Eric Hayden, Mark Schmalz, William Chapman, Sanjay Ranka, Sartaj Sahni, Gunasekaran Seetharaman

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Tags: Algorithms, CUDA, GPU cluster, Image reconstruction, nVidia, Signal processing, Tesla C2050

October 6, 2012 by hgpu

Architectural explorations for streaming accelerators with customized memory layouts

Muhammad Shafiq

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Tags: Algorithms, Computer science, CUDA, Design space exploration, nVidia, Tesla C2050, Thesis

October 6, 2012 by hgpu

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

Piotr Pawliczek, Witold Dzwinel, David A. Yuen

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Tags: Algorithms, Computer science, CUDA, Data mining, MPI, Multidimensional scaling, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 Ultra, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 260, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla M2050, Visualization

October 6, 2012 by hgpu

An Efficient GPU Implementation of Modified Discrete Cosine Transform Using CUDA

Massimo Panella, Luigi Basset

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Tags: Algorithms, Compression, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 295, Signal processing

October 6, 2012 by hgpu

Using Commodity Coprocessors for Host Intrusion Detection

Mark M. Seeger

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Tags: Algorithms, Computer science, CUDA, Data acquisition, nVidia, Security, Thesis

October 5, 2012 by hgpu

Is the game worth the candle? Evaluation of OpenCL for object detection algorithm optimization

Floris De Smedt, Lars Stuyf, Sander Beckers, Joost Vennekens, Gorik De Samblanx, Toon Goedeme

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Tags: Algorithm optimization, Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 295, OpenCL

October 5, 2012 by hgpu

An ultrasonic imaging system based on a new SAFT approach and a GPU beamformer

Carlos J. Martin-Arguedas, David Romero-Laorden, Oscar Martinez-Graullera, Manuel Perez-Lopez Luis Gomez-Ullate

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 295, Ultrasound

October 5, 2012 by hgpu

Parallel Algorithm of IDCT with GPUs and CUDA for Large-scale Video Quality of 3G

Qingkui Chen, Haifeng Wang, Songlin Zhuang, Bocheng Liu

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

October 5, 2012 by hgpu

Redefining the Role of the CPU in the Era of CPU-GPU Integration

Manish Arora, Siddhartha Nath, Subhra Mazumdar, Scott Baden, Dean Tullsen

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

October 4, 2012 by hgpu

Heterogeneous GPU&CPU cluster for High Performance Computing in cryptography

Michal Marks, Jaroslaw Jantura, Ewa Niewiadomska-Szynkiewicz, Przemyslaw Strzelczyk, Krzysztof Gozdz

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Tags: Algorithms, AMD FirePro V7900, AMD FireStream 9350, ATI, ATI FirePro V5800, ATI FirePro V7800, Computer science, Distributed computing, GPU cluster, Heterogeneous systems, nVidia, OpenCL, Security, Tesla M2050

October 4, 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

CUTE solutions for two-point correlation functions from large cosmological datasets

GPGPU accelerated optimization method of Interconnection Network Topology

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Architectural explorations for streaming accelerators with customized memory layouts

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

An Efficient GPU Implementation of Modified Discrete Cosine Transform Using CUDA

Using Commodity Coprocessors for Host Intrusion Detection

Is the game worth the candle? Evaluation of OpenCL for object detection algorithm optimization

An ultrasonic imaging system based on a new SAFT approach and a GPU beamformer

Parallel Algorithm of IDCT with GPUs and CUDA for Large-scale Video Quality of 3G

Redefining the Role of the CPU in the Era of CPU-GPU Integration

Heterogeneous GPU&CPU cluster for High Performance Computing in cryptography

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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