high performance computing on graphics processing units: hgpu.org

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Ameliorating Memory Contention of OLAP operators on GPU Processors

Evangelia A. Sitaridi, Kenneth A. Ross

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Tags: Computer science, CUDA, Databases, nVidia, Tesla C2070

June 8, 2012 by hgpu

GPU Join Processing Revisited

Tim Kaldewey, Guy Lohman, Rene Mueller, Peter Volk

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 580

June 3, 2012 by hgpu

X-Device Query Processing by Bitwise Distribution

Holger Pirk, Thibault Sellam, Stefan Manegold, Martin Kersten

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

May 30, 2012 by hgpu

Accelerating In-Memory Graph Database traversal using GPGPUS

Ashwin Raghav Mohan Ganesh

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Tags: Computer science, CUDA, Databases, nVidia, Package

May 25, 2012 by hgpu

Self-Tuning Distribution of DB-Operations on Hybrid CPU/GPU Platforms

Sebastian Bress, Siba Mohammad, Eike Schallehn

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia

May 20, 2012 by hgpu

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions

Ping Li, Anshumali Shrivastava, Arnd Christian Konig

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Tags: Algorithms, Computer science, CUDA, Databases, Hashing, Information Retrieval, nVidia, Tesla C2050

May 16, 2012 by hgpu

Constructing Natural Neighbor Interpolation Based Grid DEM Using CUDA

Simin You, Jianting Zhang

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Software Engineering

May 10, 2012 by hgpu

GHOSTM: A GPU-Accelerated Homology Search Tool for Metagenomics

Shuji Suzuki, Takashi Ishida, Ken Kurokawa, Yutaka Akiyama

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Tags: Algorithms, Biology, CUDA, Databases, Next-Generation sequencing, nVidia, Package, Tesla S1070

May 10, 2012 by hgpu

Scheduling Tasks over Multicore machines enhanced with Accelerators: a Runtime System’s Perspective

Cedric Augonnet

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Tags: Cell processor, Computer science, CUDA, Databases, nVidia, nVidia Quadro FX 4600, nVidia Quadro FX 5800, Task scheduling, Tesla C2050, Tesla M2070, Tesla S1070, Thesis

March 29, 2012 by hgpu

Practical and Theoretical Aspects of a Parallel Twig Join Algorithm for XML Processing using a GPGPU

Lila Shnaiderman, Oded Shmueli

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Tags: Algorithms, Computer science, CUDA, Databases, Join, nVidia, nVidia GeForce GTX 480

March 27, 2012 by hgpu

A Parallel Access Method for Spatial Data Using GPU

Byoung-Woo Oh

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Tags: Computer science, CUDA, Databases, Information Retrieval, nVidia, nVidia GeForce GTX 580

March 26, 2012 by hgpu

Spatial Join with R-Tree on Graphics Processing Units

Tongjai Yampaka, Prabhas Chongstitvatana

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 440

March 19, 2012 by hgpu

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

Ameliorating Memory Contention of OLAP operators on GPU Processors

GPU Join Processing Revisited

X-Device Query Processing by Bitwise Distribution

Accelerating In-Memory Graph Database traversal using GPGPUS

Self-Tuning Distribution of DB-Operations on Hybrid CPU/GPU Platforms

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions

Constructing Natural Neighbor Interpolation Based Grid DEM Using CUDA

GHOSTM: A GPU-Accelerated Homology Search Tool for Metagenomics

Scheduling Tasks over Multicore machines enhanced with Accelerators: a Runtime System’s Perspective

Practical and Theoretical Aspects of a Parallel Twig Join Algorithm for XML Processing using a GPGPU

A Parallel Access Method for Spatial Data Using GPU

Spatial Join with R-Tree on Graphics Processing Units

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HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

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Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

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