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Stochastic Progressive Photon Mapping for Dynamic Scenes

Maayan Weiss, Thorsten Grosch

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Tags: 3D Graphics and Realism, Algorithms, Image processing, nVidia, nVidia GeForce GTX 285

January 20, 2012 by hgpu

An Energy-Efficient Heterogeneous System for Embedded Learning and Classification

Abhinandan Majumdar, Srihari Cadambi, Srimat T. Chakradhar

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Tags: Computer science, Energy-efficient computing, FPGA, Heterogeneous systems, nVidia, nVidia ION, Tesla C1070

January 20, 2012 by hgpu

Parallel Volume Rendering for Large Scientific Data

Thomas Fogal

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Tags: Algorithms, Computer science, MRI, nVidia, nVidia GeForce 8800 GTX, nVidia Quadro FX 5800, OpenGL, Rendering, Visualization

January 20, 2012 by hgpu

Leveraging on High-Performance Computing and Cloud Technologies in Digital Libraries: A Case Study

Peter Wittek, Sandor Daranyi

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Tags: Algorithms, Cloud, Computer science, Machine learning, MapReduce, Text mining

January 20, 2012 by hgpu

Efficient fMRI Analysis and Clustering on GPUs

B.E. Dharneesh Talasu

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Tags: Clustering, CUDA, Heterogeneous systems, Hierarchical clustering, Image processing, Medicine, MRI, nVidia, nVidia GeForce 9400 M, Thesis

January 20, 2012 by hgpu

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

Christian Richardt, Carsten Stoll, Neil A. Dodgson, Hans-Peter Seidel, Christian Theobalt

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, Image processing, Rendering

January 20, 2012 by hgpu

Dynamically Managed Data for CPU-GPU Architectures

Thomas B. Jablin, James A. Jablin, Prakash Prabhu, Feng Liu, David I. August

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Tags: Computer science, CUDA, Data Structures and Algorithms, Memory model, nVidia, nVidia GeForce GTX 480, Performance

January 19, 2012 by hgpu

Combining approximate inference methods for efficient learning on large computer clusters

Zhenwen Dai, Jacquelyn A. Shelton, Jorg Bornschein, Abdul Saboor Sheikh, Jorg Lucke

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Tags: Algorithms, Computational Complexity, Computer science, GPU cluster, Machine learning, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Python

January 19, 2012 by hgpu

Accelerated Large-Scale Multiple Sequence Alignment

Scott Lloyd, Quinn O. Snell

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Tags: Algorithms, Bioinformatics, Biology, FPGA, Package, Sequence alignment

January 19, 2012 by hgpu

A High Performance Parallel FDTD Method Enhanced By Using SSE Instruction Set

Dau-Chyrh Chang, Shao-Hsiang Yen, Xiaoling Yang, Lihong Zhang, Wenhua Yu

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Tags: Benchmarking, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, nVidia, Tesla C1060

January 19, 2012 by hgpu

Platform Characterization for Domain-Specific Computing

Alex Bui, Kwang-Ting (Tim) Cheng, Jason Cong, Luminita Vese, Yi-Chu Wang, Bo Yuan, Yi Zou

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Tesla C1060

January 19, 2012 by hgpu

Human Re-identification System On Highly Parallel GPU and CPU Architectures

Slawomir Bak, Krzysztof Kurowski, Krystyna Napierala

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Tesla S1070

January 19, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Stochastic Progressive Photon Mapping for Dynamic Scenes

An Energy-Efficient Heterogeneous System for Embedded Learning and Classification

Parallel Volume Rendering for Large Scientific Data

Efficient fMRI Analysis and Clustering on GPUs

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

Dynamically Managed Data for CPU-GPU Architectures

Combining approximate inference methods for efficient learning on large computer clusters

Accelerated Large-Scale Multiple Sequence Alignment

A High Performance Parallel FDTD Method Enhanced By Using SSE Instruction Set

Platform Characterization for Domain-Specific Computing

Human Re-identification System On Highly Parallel GPU and CPU Architectures

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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