Results 71 to 80 of about 3,393 (217)

MuscleX‐DI: an integrated data analysis package for X‐ray scanning diffraction imaging experiments

Journal of Synchrotron Radiation, Volume 33, Issue 1, Page 246-257, January 2026.
MuscleX‐Diffraction Imaging (MuscleX‐DI) is an integrated, open‐source software suite for data reduction and visualization of scanning X‐ray diffraction (XRD) experiments. It is developed in Python and runs on Linux, Microsoft Windows or macOS. MuscleX‐DI offers an end‐to‐end software analysis pipeline that ingests diffraction patterns and raster scan ...
Rama S. Madhurapantula, Jiranun Jiratrakanvong, Grant Nikseresht, Nikhil Miskin, Ran Huo, Jules Nabon, Thomas C. Irving, Gady Agam, Joseph Orgel   +8 more
wiley   +1 more source

Real Time Multiprocessing under UNIX

, 1989
Real-time multiprocessing under UNIX and OS-9 in a VME ...
Petersen, P.L.
core  

Accelerating intelligent vehicle vision: A hybrid Python-Rust architecture with partial-blocking inter-process communication [PDF]

Revista Română de Informatică și Automatică
Modern autonomous systems require high-throughput, reliable vision pipelines with real-time guarantees. This paper presents a hybrid Python-Rust architecture that leverages synchronized shared memory and introduces a novel partial-blocking inter-process ...
Dávid SZILÁGYI, Răzvan FILEA, Kuderna-Iulian BENȚA   +2 more
doaj   +1 more source

Real Time Multiprocessing under UNIX

, 1988
Real-time multiprocessing under UNIX and OS-9 in a VME ...
Petersen, P. L., Petersen, P.L.
core  

Scalable Strategies for Computing with Massive Data

Journal of Statistical Software, 2013
This paper presents two complementary statistical computing frameworks that address challenges in parallel processing and the analysis of massive data. First, the foreach package allows users of the R programming environment to define parallel loops that
Michael Kane, John W. Emerson, Stephen Weston   +2 more
doaj   +1 more source

Multiprocessing MCNP on an IBM RS/6000 cluster [PDF]

, 1993
The advent of high-performance computer systems has brought to maturity programming concepts like vectorization, multiprocessing, and multitasking. While there are many schools of thought as to the most significant factor in obtaining order-of-magnitude ...
McKinney, G.W. (Los Alamos National Lab., NM (United States)), West, J.T. (IBM Corp., Houston, TX (United States))   +1 more
core   +2 more sources

Study of spaceborne multiprocessing, phase 1

, 1970
Multiprocessing computer organizations and their application to future space ...
Koczela, L. J.
core  

Lisp Extensions for Multiprocessing

Extensions to Common Lisp for concurrent computation on multiprocessors are discussed. Functions for process creation, communication, and synchronization are described. Process objects create multiple threads of control. Processes are lightweight so that
Larus, James, Semenzato, Luigi, Ho, Kinson, Hilfinger, Paul, Zorn, Benjamin G.   +4 more
core   +1 more source

Single Wafer Rapid Thermal Multiprocessing

, 1989
Future success in microelectronics will demand rapid innovation, rapid product introduction and ability to react to a change in technological and business climate quickly. These technological advances in integrated electronics will require development of
Sam Wood, Peter Wright, Len Booth, Mehrdad M. Moslehi, Krishna C. Saraswat, David D. Grossman   +5 more
core   +1 more source

Task Management in Real-Time Multiprocessing System: Assignment Strategies and Scheduling Techniques for Improved Performance [PDF]

Journal of Electrical and Electronics Engineering
Multiprocessing systems are essential for delivering the performance and responsiveness required by modern and real-time applications. These systems depend heavily on task assignments and scheduling mechanisms to make sure efficient use of computational ...
GORAN HamaAli, DIARY Sulaiman
doaj