Sabri Pllana

Jesper Larsson Träff

Introduction to the Scientific Programming Special Issue: Software Development for Multi-core Computing Systems

work present runtim thread system which provid effici substrat finegrain parallel suitabl deploy multicor platform its architectur encompass number optim make particular effect manag larg number thread low overhead the runtim system has been integr openmp implement allow transpar usag under high level program paradigm evalu our implement two multicor system use synthet microbenchmark realtim face detect applic

P.E. Hadjidoukas

G.Ch. Philos

V.V. Dimakopoulos

Exploiting Fine-Grain Thread Parallelism on Multicore Architectures

Lee S. Brownston

Book Review

Dan Nagle

hybrid parallel multicor architectur base graphic process unit gpus can provid tremend comput power current nvidia amd graphic product group hardwar display peak perform hundr gigaflop howev exploit gpus from exist applic difficult task requir nonport rewrit code paper present hmpp heterogen multicor parallel program workbench compil develop caps entrepris allow integr heterogen hardwar acceler unintrus manner while preserv legaci code

Francois Bodin

Stephane Bihan

Heterogeneous Multicore Parallel Programming for Graphics Processing Units

for mobil multiprocessor applic achiev high perform low energi consumpt challeng task order help programm meet design requir system develop tool play import role paper describ one develop tool epromp which profil optim both perform energi consumpt multithread applic run top linux arm11 mpcorebas embed system one key featur epromp can accur estim energi consumpt multithread applic without requir power measur equip use regressionbas energi model also describ anoth key benefit epromp automat optim function use two exampl problem using automat optim function epromp can achiev high perform low power consumpt without programm intervent our experiment result show epromp can improv perform energi consumpt 61 41 respect over baselin version corun applic optim exampl for producerconsum applic optim exampl epromp improv perform energi consumpt 605 433 respect over baselin version

Wonil Choi

Hyunhee Kim

Wook Song

Jiseok Song

Jihong Kim

ePRO-MP: A Tool for Profiling and Optimizing Energy and Performance of Mobile Multiprocessor Applications

one challeng achiev good perform multicor architectur effect util under memori hierarchi while issu singlecor architectur critic problem multicor chip paper formul unifi multicor model umm help understand fundament limit cach perform architectur the umm seamless handl differ type multiplecor processor vari degre cach share differ level demonstr our model can use studi varieti multicor architectur varieti applic particular use analyz option price problem use trinomi model develop algorithm has nearoptim memori traffic between cach level have implement algorithm two quadcor intel xeon 5310 16 ghz processor 8 core achiev peak perform 195 gflops which 38 theoret peak multicor system demonstr our algorithm outperform compileroptim autoparallel code factor 75

John E. Savage

Mohammad Zubair

Evaluating Multicore Algorithms on the Unified Memory Model

About this journal

Scientific Programming provides a forum for research results in, and practical experience with, software engineering environments, tools, languages, and models of computation aimed specifically at supporting scientific and engineering computing.

Journal profile

Meet the editorial board

Chief Editor&nbsp;Professor Tramontana&nbsp;is based at the University of Catania and his research primarily concerns the areas of software engineering and distributed systems.

Editor spotlight

Submit to Special Issue

We currently have a number of Special Issues open for submission. Special Issues highlight emerging areas of research within a field, or provide a venue for a deeper investigation into an existing research area.

Special Issues

Author guidelines

Editorial board

Databases and indexing

title

Scientific Programming provides a forum for research results in, and practical experience with, software engineering environments, tools, languages, and models of computation aimed specifically at supporting scientific and engineering computing.

description

https://images.hindawi.com/journals/sp/sp.banner.jpg

twitter:card

twitter:description

twitter:site

twitter:title

twitter:url

twitter:image

Scientific Programming | Hindawi

Scientific Programming

This Issue is now open for submissions.
Papers are published upon acceptance, regardless of the Special Issue publication date.

Scientific Programming

Software Development for Multi-core Computing Systems

Software Development for Multi-core Computing Systems

Articles

Introduction to the Scientific Programming Special Issue: Software Development for Multi-core Computing Systems

Exploiting Fine-Grain Thread Parallelism on Multicore Architectures

Book Review

Book Review

Heterogeneous Multicore Parallel Programming for Graphics Processing Units

ePRO-MP: A Tool for Profiling and Optimizing Energy and Performance of Mobile Multiprocessor Applications

Evaluating Multicore Algorithms on the Unified Memory Model