Results 21 to 30 of about 408,304 (241)

Fine-Grained Multithreading for the Multifrontal QR Factorization of Sparse Matrices [PDF]

, 2013
International audienceThe advent of multicore processors represents a disruptive event in the history of computer science as conventional parallel programming paradigms are proving incapable of fully exploiting their potential for concurrent computations.
Buttari, Alfredo
core   +3 more sources

Workflows for Construction of Spatio-Temporal Probabilistic Maps for Volcanic Hazard Assessment

Frontiers in Earth Science, 2022
Probabilistic hazard assessments for studying overland pyroclastic flows or atmospheric ash clouds under short timelines of an evolving crisis, require using the best science available unhampered by complicated and slow manual workflows.
Renette Jones-Ivey, Abani Patra, Marcus Bursik   +2 more
doaj   +1 more source

How functional programming mattered [PDF]

, 2015
In 1989 when functional programming was still considered a niche topic, Hughes wrote a visionary paper arguing convincingly ‘why functional programming matters’. More than two decades have passed. Has functional programming really mattered? Our answer is
Abelson, Armstrong, Armstrong, Arts, Arts, Axelsson, Baars, Backus, Bahr, Barthe, Bertot, Bird, Bird, Bird, Bird, Bird RS Moor, Blelloch, Blelloch, Bringert, Carette, Chakravarty, Chakravarty MMT Leshchinskiy, Chetali, Chin, Claessen, Claessen, Cole, Cole, de Moor, Dean, Devriese, Dijkstra, Dybvig, Elliott, Elliott, Epstein, Farmer, Fegaras, Felleisen, Ford, Gibbons, Gibbons, Gill, Halloway, Hammond, Hansen MR Rischel, Harris, Hinze, Hinze, Hu, Hu, Hu, Hu, Hu, Hudak, Hudak, Hudak, Hudak, Hudak, Hudak, Hughes, Hughes, Hughes, Hughes JM Bolinder, Hutton, Hutton, Jones, Katayama, Katayama, Kiselyov, Launchbury, Launchbury, Leijen, Leroy, Liang, Lindley, Loidl HW Rubio, Matsuzaki, Mcbride, Meijer, Meijer, Milner, Minsky, Minsky, Moggi, Moggi, Morita, Mu, Naiman, Norell, Odersky, Oliveira BCS Moors, Paterson, Paulson, Persson, Peyton Jones, Peyton Jones, Peyton Jones SL Wadler, Reynolds, Sagonas, Schrijvers, Sculthorpe, Seibel, Sheard, Skillicorn, Smith, Snyder, Steele, Steele, Svenningsson, Svenningsson, Swierstra, Swierstra SD Duponcheel, Takano, Takano, Tesson, Wadler, Wadler, Wadler, Wadler, Wampler, Yang   +121 more
core   +1 more source

Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism

Frontiers in Neuroinformatics
Memory formation is usually associated with Hebbian learning and synaptic plasticity, which changes the synaptic strengths but omits structural changes.
Marvin Kaster, Fabian Czappa, Markus Butz-Ostendorf, Markus Butz-Ostendorf, Felix Wolf   +4 more
doaj   +1 more source

Computer Science in Sport – Research and Practice: A book review

International Journal of Computer Science in Sport, 2016
Sports informatics and computer science in sport are perhaps the most exciting and fast-moving disciplines across all of sports science. The tremendous parallel growth in digital technology, non-invasive sensor devices, computer vision and machine ...
Stuart Morgan
doaj   +1 more source

Blocked All-Pairs Shortest Paths Algorithm on Intel Xeon Phi KNL Processor: A Case Study

, 2018
Manycores are consolidating in HPC community as a way of improving performance while keeping power efficiency. Knights Landing is the recently released second generation of Intel Xeon Phi architecture.
A Nakaya, C Rosales, DE Culler, G Venkataraman, J Reinders, MB Giles, RW Floyd, S Jalali, S Warshall   +8 more
core   +1 more source

Efficient utilization of multi-core processors and many-core co-processors on supercomputer beacon for scalable geocomputation and geo-simulation over big earth data

Big Earth Data, 2018
Digital earth science data originated from sensors aboard satellites and platforms such as airplane, UAV, and mobile systems are increasingly available with high spectral, spatial, vertical, and temporal resolution data.
Chenggang Lai, Xuan Shi, Miaoqing Huang
doaj   +1 more source

Implementation of cloud service models in training of future information technology specialists

CTE Workshop Proceedings, 2019
Leading research directions are defined on the basis of self-analysis of the study results on the use of cloud technologies in training by employees of joint research laboratory “Сloud technologies in education” of Kryvyi Rih National University and ...
Oksana M. Markova, Serhiy O. Semerikov, Andrii M. Striuk, Hanna M. Shalatska, Pavlo P. Nechypurenko, Vitaliy V. Tron   +5 more
doaj   +1 more source

Parallel cellular automata: A model program for computational science

Concurrency: Practice and Experience, 1993
AbstractWe develop a model program for parallel execution of cellular automata on a multicomputer. The model program is then adapted for simulation of forest fires and numerical solution of Laplace's equation for stationary heat flow. The performance of the parallel program is analyzed and measured on a Computing Surface configured as a matrix of ...
openaire   +2 more sources

On the Solution of Linear Programming Problems in the Age of Big Data

, 2017
The Big Data phenomenon has spawned large-scale linear programming problems. In many cases, these problems are non-stationary. In this paper, we describe a new scalable algorithm called NSLP for solving high-dimensional, non-stationary linear programming
G Dantzig, I Sokolinskaya, IM Sokolinskaya, IM Sokolinskaya, J Gondzio, LG Khachiyan, M Zymbler, MS Sodhi, NZ Shor   +8 more
core   +1 more source