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Scalability of Self-organizing Maps on a GPU cluster using OpenCL and CUDA

Sabine McConnell, Robert Sturgeon, Gregory Henry, Andrew Mayne, Richard Hurley

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Tags: Algorithms, Computer science, CUDA, Data mining, GPU cluster, nVidia, nVidia GeForce GT 220, OpenCL, Self-organizing map, Tesla S1070

February 11, 2012 by hgpu

Automatic Performance Optimization in ViennaCL for GPUs

Karl Rupp, Josef Weinbub, Florian Rudolf

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Computer science, Linear Algebra, nVidia, nVidia GeForce 8500 GT, nVidia GeForce GTX 470, OpenCL, Optimization, Package, Performance, Programming techniques

February 10, 2012 by hgpu

Customizing Instruction Set Extensible Reconfigurable Processors using GPUs

Unmesh D. Bordoloi, Bharath Suri, Swaroop Nunna, Samarjit Chakraborty, Petru Eles, Zebo Peng

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Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Optimization, Tesla M2050

February 10, 2012 by hgpu

Ensemble K-means on multi-core architectures

Girish Ravunnikutty, Rejith George Joseph, Sanjay Ranka, Alin Dobra

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Tags: Algorithms, ATI, ATI FirePro V7800, Clustering, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL

February 10, 2012 by hgpu

Implementing Molecular Dynamics on Hybrid High Performance Computers – Particle-Particle Particle-Mesh

W. Michael Brown, Axel Kohlmeyer, Steven J. Plimpton, Arnold N. Tharrington

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Tags: Algorithms, Chemistry, CUDA, Electrostatics, GPU cluster, Heterogeneous systems, Molecular dynamics, nVidia, OpenCL, OpenMPI, Package, Physics, Tesla M2070

February 10, 2012 by hgpu

Real-Time SAH BVH Construction for Ray Tracing Dynamic Scenes

Dmitry Sopin, Denis Bogolepov, Danila Ulyanov

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Raytracing, Real-time graphics, Rendering

February 10, 2012 by hgpu

Accelerating H.264 Advanced Video Coding with GPU/CUDA Technology

Christopher Rivere Escobedo

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Tags: Compression, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GT 220, Thesis, Video encoding

February 9, 2012 by hgpu

Parallel Semi-Implicit Time Integrators

B. Ong, A. Melfi, A. Christlieb

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C1060

February 9, 2012 by hgpu

The Boat Hull Model: Adapting the Roofline Model to Enable Performance Prediction for Parallel Computing

Cedric Nugteren, Henk Corporaal

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Performance

February 9, 2012 by hgpu

CudaRF: A CUDA-based Implementation of Random Forests

Hakan Grahn, Niklas Lavesson, Mikael Hellborg Lapajne, Daniel Slat

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Data mining, Machine learning, nVidia, nVidia GeForce GT 220

February 9, 2012 by hgpu

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units

Jun Igarashi, Osamu Shouno, Tomoki Fukai, Hiroshi Tsujino

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Tags: Computer science, CUDA, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 280, Visualization

February 9, 2012 by hgpu

Auto-Generation and Auto-Tuning of 3D Stencil Codes on GPU Clusters

Yongpeng Zhang, Frank Mueller

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Nearest neighbour, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Tesla C1060, Tesla C2050

February 8, 2012 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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high performance computing on graphics processing units: hgpu.org

Applications

Scalability of Self-organizing Maps on a GPU cluster using OpenCL and CUDA

Automatic Performance Optimization in ViennaCL for GPUs

Customizing Instruction Set Extensible Reconfigurable Processors using GPUs

Ensemble K-means on multi-core architectures

Implementing Molecular Dynamics on Hybrid High Performance Computers – Particle-Particle Particle-Mesh

Real-Time SAH BVH Construction for Ray Tracing Dynamic Scenes

Accelerating H.264 Advanced Video Coding with GPU/CUDA Technology

Parallel Semi-Implicit Time Integrators

The Boat Hull Model: Adapting the Roofline Model to Enable Performance Prediction for Parallel Computing

CudaRF: A CUDA-based Implementation of Random Forests

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units

Auto-Generation and Auto-Tuning of 3D Stencil Codes on GPU Clusters

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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