nVidia GeForce GT 520 M

hgpu.org » nVidia GeForce GT 520 M

Document Classification Using KNN on GPU

S.G. Lade, Nikhil Vyawahare

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 520 M, Text mining

September 8, 2014 by hgpu

Evaluating tradeoff between recall and performance of GPU permutation index

Mariela Lopresti, Natalia Miranda, Mercedes Barrionuevo, Fabiana Piccoli, Nora Reyes

View

Download (PDF)

Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 520 M

December 11, 2013 by hgpu

Solving Multiple Queries through a Permutation Index in GPU

Mariela Lopresti, Natalia Miranda, Fabiana Piccoli, Nora Reyes

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 520 M, nVidia GeForce GTX 330 M, nVidia GeForce GTX 550 Ti, Search

October 21, 2013 by hgpu

Permutation Index and GPU to Solve efficiently Many Queries

Mariela Lopresti, Natalia Miranda, Fabiana Piccoli, Nora Reyes

View

Download (PDF)

Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 520 M, nVidia GeForce GTX 330 M, nVidia GeForce GTX 550 Ti

August 18, 2013 by hgpu

Using Graphical Processing Units for Deterministic Single Machine Scheduling Problems

Krisztian Mihaly, Oliver Hornyak

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 520 M, Task scheduling

March 7, 2013 by hgpu

Distributed OpenCL Distributing OpenCL Platform on Network Scale

Baris Eskikaya, D Turgay Altilar

View

Download (PDF)

Tags: ATI, ATI Radeon HD 6370 M, Computer science, Distributed computing, GPU cluster, nVidia, nVidia GeForce GT 240 M, nVidia GeForce GT 520 M, nVidia GeForce GT 525 M, nVidia GeForce GTX 540 M, nVidia GeForce GTX 555 M, OpenCL

July 15, 2012 by hgpu

Using Compute Unified Device Architecture (CUDA) in Parallelizing Different Digital Image Processing Techniques

Mikaela Nadinne A. Silapan

View

Download (PDF)

Tags: CUDA, Image processing, nVidia, nVidia GeForce GT 520 M

May 25, 2012 by hgpu

Heterogeneous Computing in Economics: a Simplified Approach

Matt P. Dziubinski, Stefano Grassi

View

Download (PDF)

Tags: CUDA, Data parallelism, Finance, Heterogeneous systems, nVidia, nVidia GeForce GT 520 M, nVidia GeForce GTS 450, Optimization

May 14, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Document Classification Using KNN on GPU

Evaluating tradeoff between recall and performance of GPU permutation index

Solving Multiple Queries through a Permutation Index in GPU

Permutation Index and GPU to Solve efficiently Many Queries

Using Graphical Processing Units for Deterministic Single Machine Scheduling Problems

Distributed OpenCL Distributing OpenCL Platform on Network Scale

Using Compute Unified Device Architecture (CUDA) in Parallelizing Different Digital Image Processing Techniques

Heterogeneous Computing in Economics: a Simplified Approach

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)