high performance computing on graphics processing units: hgpu.org

hgpu.org » Databases

Leveraging Computation Sharing and Parallel Processing in Location-Based Services

Jonathan Cazalas, Kien Hua

Tags: Algorithms, Computer science, Databases

June 6, 2011 by hgpu

Clustering coefficient queries on massive dynamic social networks

Zhiyu Liu, Chen Wang, Qiong Zou, Huayong Wang

Tags: Algorithms, Computer science, Databases, Networks

April 11, 2011 by hgpu

Parallel frequent patterns mining algorithm on GPU

Jiayi Zhou, Kun-Ming Yu, Bin-Chang Wu

Tags: Algorithms, Computer science, Data mining, Databases

March 27, 2011 by hgpu

Exploring utilisation of GPU for database applications

Slawomir Walkowiak, Konrad Wawruch, Marita Nowotka, Lukasz Ligowski, Witold Rudnicki

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Tags: Computer science, CUDA, Databases, nVidia, Tesla S1070

March 19, 2011 by hgpu

High-Throughput Transaction Executions on Graphics Processors

Bingsheng He, Jeffrey Xu Yu

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Tags: Computer science, CUDA, Databases, nVidia, Optimization, Tesla C1060

March 17, 2011 by hgpu

Accelerating Nearest Neighbor Search on Manycore Systems

Lawrence Cayton

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Tags: Computer science, CUDA, Data Structures and Algorithms, Databases, Information Retrieval, Nearest neighbour, nVidia, Tesla C2050

March 15, 2011 by hgpu

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy Sadayappan

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Tags: Computer science, CUDA, Databases, nVidia, Sparse matrix, Tesla C1060

March 15, 2011 by hgpu

Comparing GPU and CPU in OLAP Cubes Creation

Krzysztof Kaczmarski

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

March 13, 2011 by hgpu

Relational query coprocessing on graphics processors

Bingsheng He, Mian Lu, Ke Yang, Rui Fang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Source codes

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce 8800 GTX, Package, Performance

January 19, 2011 by hgpu

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan

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

December 27, 2010 by hgpu

Frequent itemset mining on graphics processors

Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He, Qiong Luo

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 280

December 21, 2010 by hgpu

Accelerating SQL Database Operations on a GPU with CUDA

Peter Bakkum, Kevin Skadron

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Tags: Computer science, CUDA, Databases, nVidia, Tesla C1060

December 18, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Leveraging Computation Sharing and Parallel Processing in Location-Based Services

Clustering coefficient queries on massive dynamic social networks

Parallel frequent patterns mining algorithm on GPU

Exploring utilisation of GPU for database applications

High-Throughput Transaction Executions on Graphics Processors

Accelerating Nearest Neighbor Search on Manycore Systems

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

Comparing GPU and CPU in OLAP Cubes Creation

Relational query coprocessing on graphics processors

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

Frequent itemset mining on graphics processors

Accelerating SQL Database Operations on a GPU with CUDA

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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