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Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Michael Driscoll, Evangelos Georganas, Penporn Koanantakool

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Tags: Computer science, CUDA, MapReduce, nVidia, Programming techniques, Python, Tesla M2050

February 9, 2013 by hgpu

Fast 3D Wavelet Transform on Multicore and Manycore Computing Platforms

V. Galiano, O. Lopez-Granado, M.P. Malumbres, H. Migallon

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, Optimization, Wavelet

February 9, 2013 by hgpu

Document Stream Clustering using GPUs

Michael J. Szaszy, Hanan Samet

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Tags: Algorithms, Clustering, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX 480, Performance

February 9, 2013 by hgpu

Effectiveness of program transformations and compilers for directive-based GPU programming models

Swapnil Avinash Ghike

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Optimization, Performance, Tesla X2090, Thesis

February 9, 2013 by hgpu

Using Hybrid Shared and Distributed Caching for Mixed-Coherency GPU Workloads

Nasser Anssari

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Tags: Computer science, CUDA, nVidia, Performance, Thesis

February 9, 2013 by hgpu

Optimized GPU Implementation and Performance Analysis of HC Series of Stream Ciphers

Ayesha Khalid, Deblin Bagchi, Goutam Paul, Anupam Chattopadhyay

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Tags: Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Optimization, Security, Stream Ciphers

February 8, 2013 by hgpu

Efficient Wave Propagation in Discontinuous Media and Complex Geometry for Many-core Architectures

Tobias Skoglund

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Physics, Thesis, Wave equation

February 7, 2013 by hgpu

Betweenness Centrality on GPUs and Heterogeneous Architectures

Ahmet Erdem Sariyuce, Kamer Kaya, Erik Saule, Umit V. Catalyurek

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Tags: Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, Package, Tesla C2050, Virtualization

February 7, 2013 by hgpu

GPU Implementation of Iterative Solvers in Numerical Weather Predicting Models

Sinan Shi

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, Tesla C2050, Thesis, Weather Prediction Model

February 7, 2013 by hgpu

Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis

Konstantinos G. Derpanis, Mikhail Sizintsev, Kevin J. Cannons, Richard P. Wildes

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8400 GT, nVidia GeForce GTS 360 M, nVidia GeForce GTX 285, nVidia Quadro FX 1800

February 6, 2013 by hgpu

Binary Interval Search: a scalable algorithm for counting interval intersections

Ryan M. Layer, Kevin Skadron, Gabriel Robins, Ira M. Hall, Aaron R. Quinlan

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, Monte Carlo simulation, nVidia, Package, Sequence alignment

February 6, 2013 by hgpu

Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi

Erik Saule, Kamer Kaya, Umit V. Catalyurek

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Tags: Computer science, CUDA, Hardware Architecture, Intel, Intel Phi, Matrix multiplication, nVidia, Performance, Sparse matrix, Tesla C2050, Tesla K20

February 6, 2013 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

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Fast 3D Wavelet Transform on Multicore and Manycore Computing Platforms

Document Stream Clustering using GPUs

Effectiveness of program transformations and compilers for directive-based GPU programming models

Using Hybrid Shared and Distributed Caching for Mixed-Coherency GPU Workloads

Optimized GPU Implementation and Performance Analysis of HC Series of Stream Ciphers

Efficient Wave Propagation in Discontinuous Media and Complex Geometry for Many-core Architectures

Betweenness Centrality on GPUs and Heterogeneous Architectures

GPU Implementation of Iterative Solvers in Numerical Weather Predicting Models

Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis

Binary Interval Search: a scalable algorithm for counting interval intersections

Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi

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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