NDLI: Accelerating CFD applications by improving cached data reuse

Content Provider	IEEE Xplore Digital Library
Author	Kadambi, S. Harden, J.C.
Copyright Year	1995
Description	Author affiliation: NSF Eng. Res. Center for Comput. Field Simulation, Mississippi State Univ., MS, USA (Kadambi, S.; Harden, J.C.)
Abstract	As processors continue to experience relatively rapid clock speed increases, the gap widens between cpu and memory performance. Unlike other studies that collect memory traces and analyze them for compile time optimization or propose cache organization best suited for an application group, this paper tackles the problem at its roots, namely analyzing data access patterns and optimizing them before implementation. Optimization done by today's compilers is mostly loop level. Function level optimization is limited to inlining code that often leads to poor instruction cache utilization, affecting code performance adversely. In this study, an algorithm to solve compressible Euler equations is studied with regard to temporal and spatial access of data. Data and instruction blocks, which are used most often, are isolated. The algorithm is then coded to utilize the characteristics of hierarchical memories with as much as 45% improvement over conventional optimization techniques.
Starting Page	120
Ending Page	124
File Size	470989
Page Count	5
File Format	PDF
ISBN	0818669853
ISSN	00942898
DOI	10.1109/SSST.1995.390606
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-03-12
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Acceleration Computational fluid dynamics Equations Costs Clocks Pattern analysis Computational modeling Data analysis Pipeline processing Parallel processing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Accelerating cfd applications by improving cached data reuse (1995).

A fixed time performance evaluation of parallel CFD applications

Exploring New Architectures in Accelerating CFD for Air Force Applications

Accelerating large data analysis by exploiting regularities

Construction and capability analysis of a small scale cluster system for CFD

Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors

Scalability issues for a class of CFD applications

An Euler solver accelerator in FPGA for computational fluid dynamics applications

CFD Builder: A Library Builder for Computational Fluid Dynamics

Accelerating CFD applications by improving cached data reuse

Similar Documents

Accelerating cfd applications by improving cached data reuse (1995).

A fixed time performance evaluation of parallel CFD applications

Exploring New Architectures in Accelerating CFD for Air Force Applications

Accelerating large data analysis by exploiting regularities

Construction and capability analysis of a small scale cluster system for CFD

Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors

Scalability issues for a class of CFD applications

An Euler solver accelerator in FPGA for computational fluid dynamics applications

CFD Builder: A Library Builder for Computational Fluid Dynamics

Accelerating CFD applications by improving cached data reuse