high performance computing on graphics processing units: hgpu.org

hgpu.org » Databases

In-memory grid files on graphics processors

Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga Govindaraju, Qiong Luo, Pedro Sander, Jiaoying Shi

View

Download (PDF)

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

December 4, 2010 by hgpu

GPUQP: query co-processing using graphics processors

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

View

Download (PDF)

Source codes

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

December 4, 2010 by hgpu

Efficient relational database management using graphics processors

Naga K. Govindaraju, Dinesh Manocha

View

Download (PDF)

Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce FX 5900 Ultra, nVidia GeForce FX 6800 Ultra, Sorting

November 30, 2010 by hgpu

Fast computation of database operations using graphics processors

Naga K. Govindaraju, Brandon Lloyd, Wei Wang, Ming Lin, Dinesh Manocha

View

Download (PDF)

Tags: Cg, Computer science, Databases, nVidia, nVidia GeForce FX 5900 Ultra, OpenGL

November 29, 2010 by hgpu

Density-based clustering using graphics processors

Christian Bohm, Robert Noll, Claudia Plant, Bianca Wackersreuther

View

Download (PDF)

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

November 21, 2010 by hgpu

Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort

Nadathur Satish, Changkyu Kim, Jatin Chhugani, Anthony D. Nguyen, Victor W. Lee, Daehyun Kim, Pradeep Dubey

View

Download (PDF)

Tags: Algorithms, Computer science, Databases, Sorting

November 20, 2010 by hgpu

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey

View

Download (PDF)

Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce GTX 280, Performance

November 17, 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

* * *

high performance computing on graphics processing units: hgpu.org

In-memory grid files on graphics processors

GPUQP: query co-processing using graphics processors

Efficient relational database management using graphics processors

Fast computation of database operations using graphics processors

Density-based clustering using graphics processors

Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

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

Most viewed papers (last 30 days)