Architecture-aware graph repartitioning for data-intensive scientific computing

2014 ◽  
Author(s):  
Angen Zheng ◽  
Alexandros Labrinidis ◽  
Panos K. Chrysanthis
Keyword(s):  
Scientific Computing ◽  
Data Intensive

ROARS: a robust object archival system for data intensive scientific computing

2012 ◽  
Vol 30 (5-6) ◽  
pp. 325-350 ◽  
Author(s):  
Hoang Bui ◽  
Peter Bui ◽  
Patrick Flynn ◽  
Douglas Thain
Keyword(s):  
Scientific Computing ◽  
Data Intensive

Cell Processing for Two Scientific Computing Kernels

2010 ◽  
pp. 312-336
Author(s):  
Meilian Xu ◽  
Parimala Thulasiraman ◽  
Ruppa K. Thulasiram
Keyword(s):  
High Speed ◽  
Scientific Computing ◽  
Building Blocks ◽  
Data Locality ◽  
Data Mapping ◽  
Single Chip ◽  
Data Intensive ◽  
Synchronization Overhead ◽  
Simd Processing ◽  
On Chip

This chapter uses two scientific computing kernels to illustrate challenges of designing parallel algorithms for one heterogeneous multi-core processor, the Cell Broadband Engine processor (Cell/B.E.). It describes the limitation of the current parallel systems using single-core processors as building blocks. The limitation deteriorates the performance of applications which have data-intensive and computationintensive kernels such as Finite Difference Time Domain (FDTD) and Fast Fourier Transform (FFT). FDTD is a regular problem with nearest neighbour comminuncation pattern under synchronization constraint. FFT based on indirect swap network (ISN) modifies the data mapping in traditional Cooley- Tukey butterfly network to improve data locality, hence reducing the communication and synchronization overhead. The authors hope to unleash the Cell/B.E. and design parallel FDTD and parallel FFT based on ISN by taking into account unique features of Cell/B.E. such as its eight SIMD processing units on the single chip and its high-speed on-chip bus.

An Out-of-Core Task-based Middleware for Data-Intensive Scientific Computing

2015 ◽  
pp. 647-667 ◽  
Author(s):  
Erik Saule ◽  
Hasan Metin Aktulga ◽  
Chao Yang ◽  
Esmond G. Ng ◽  
Ümit V. Çatalyürek
Keyword(s):  
Scientific Computing ◽  
Data Intensive

scholarly journals dispel4py: A Python Framework for Data-Intensive Scientific Computing

2014 ◽  
Author(s):  
Rosa Filguiera ◽  
Iraklis Klampanos ◽  
Amrey Krause ◽  
Mario David ◽  
Alexander Moreno ◽  
...  
Keyword(s):  
Scientific Computing ◽  
Data Intensive

A distributed multi-storage I/O system for data intensive scientific computing

2003 ◽  
Vol 29 (11-12) ◽  
pp. 1623-1643 ◽  
Author(s):  
Xiaohui Shen ◽  
Alok Choudhary
Keyword(s):  
Scientific Computing ◽  
Data Intensive

Extreme Data-Intensive Scientific Computing

2011 ◽  
Vol 13 (6) ◽  
pp. 34-41 ◽  
Author(s):  
Alex Szalay
Keyword(s):  
Scientific Computing ◽  
Data Intensive

The bounds of the distributed data-intensive computing systems

2007 ◽  
Vol 2 (Supplement 1) ◽  
pp. 85-96 ◽  
Author(s):  
Antal Buza
Keyword(s):  
Distributed Data ◽  
Data Intensive Computing ◽  
Computing Systems ◽  
Data Intensive
Sign in / Sign up

Export Citation Format

Share Document