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Local vs. Global Optimization: Operator Placement Strategies in Heterogeneous Environments

Tomas Karnagel, Dirk Habich, Wolfgang Lehner

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Tags: ATI, ATI Radeon HD 7660, Computer science, Databases, Heterogeneous systems, nVidia, OpenCL, Tesla K20

March 18, 2015 by hgpu

A Vision for GPU-accelerated Parallel Computation on Geo-Spatial Datasets

Sushil K. Prasad, Michael McDermott, Satish Puri, Dhara Shah, Danial Aghajarian, Shashi Shekhar, Xun Zhou

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Tags: Computer science, CUDA, Databases, nVidia

February 24, 2015 by hgpu

A Virtual Machine Model for Accelerating Relational Database Joins using a General Purpose GPU

Kevin Angstadt, Ed Harcourt

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 760

February 24, 2015 by hgpu

High performance methods for frequent pattern mining

Lan Vu

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, Tesla C2050, Thesis

February 22, 2015 by hgpu

In-Memory Data Analytics on Coupled CPU-GPU Architectures

Jiong He, Bingsheng He, Mian Lu, Shuhao Zhang

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Tags: Algorithms, Computer science, Databases, OpenCL

February 1, 2015 by hgpu

Performance Analysis of Join Algorithms on GPUs

Ran Rui, Hao Li, Yi-Cheng Tu

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Tags: Algorithms, Computer science, CUDA, Databases, Join, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 980, nVidia GeForce GTX Titan, Performance

January 26, 2015 by hgpu

Indexing of Spatiotemporal Trajectories for Efficient Distance Threshold Similarity Searches on the GPU

Michael Gowanlock, Henri Casanova

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Tags: Astrophysics, Computer science, Databases, nVidia, OpenCL, Tesla C2075

January 19, 2015 by hgpu

SW#db: GPU-accelerated exact sequence similarity database search

Matija Korpar, Martin Sosic, Dino Blazeka, Mile Sikic

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Source codes

Tags: Algorithms, Biology, CUDA, Databases, Next-Generation sequencing, nVidia, nVidia GeForce GTX 690, nVidia GeForce GTX 780, Package, Smith-Waterman algorithm

January 16, 2015 by hgpu

Manycore processing of repeated k-NN queries over massive moving objects observations

Francesco Lettich, Salvatore Orlando, Claudio Silvestri

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Tags: Computer science, CUDA, Data Structures and Algorithms, Databases, Nearest neighbour, nVidia, nVidia GeForce GTX 580

December 22, 2014 by hgpu

CUBPT: Lock-free bulk insertions to B+ tree on GPU architecture

Yulong Huang, Benyue Su, Jianqing Xi

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 570

December 5, 2014 by hgpu

Manycore processing of repeated range queries over massive moving objects observations

Francesco Lettich, Salvatore Orlando, Claudio Silvestri, Christian S. Jensen

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 560

November 13, 2014 by hgpu

Parallel FIM Approach on GPU using OpenCL

Sarika S. Kadam, Sudarshan S.Deshmukh

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Tags: ATI, Computer science, Data mining, Databases, OpenCL

November 9, 2014 by hgpu

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

See all packages

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high performance computing on graphics processing units: hgpu.org

Local vs. Global Optimization: Operator Placement Strategies in Heterogeneous Environments

A Vision for GPU-accelerated Parallel Computation on Geo-Spatial Datasets

A Virtual Machine Model for Accelerating Relational Database Joins using a General Purpose GPU

High performance methods for frequent pattern mining

In-Memory Data Analytics on Coupled CPU-GPU Architectures

Performance Analysis of Join Algorithms on GPUs

Indexing of Spatiotemporal Trajectories for Efficient Distance Threshold Similarity Searches on the GPU

SW#db: GPU-accelerated exact sequence similarity database search

Manycore processing of repeated k-NN queries over massive moving objects observations

CUBPT: Lock-free bulk insertions to B+ tree on GPU architecture

Manycore processing of repeated range queries over massive moving objects observations

Parallel FIM Approach on GPU using OpenCL

Recent source codes

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

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