A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Debugging code running on multiprocessor computing systems–and, in particular, parallel code on multicore devices–is an old problem that has achieved new prominence because of the profound ...
April 17, 2007, Tokyo, Japan—Altera Japan, Ltd. in conjunction with A.I. Corporation, an embedded software distributor and the TOPPERS Project, a nonprofit organization, announced today the ...
MIDDLETON, WI--(Marketwire - Sep 27, 2012) - Extreme Engineering Solutions (X-ES) announces that Green Hills Software's INTEGRITY®-178B Time-Variant Unified Multi-Processing (tuMP) multicore operating ...
In a system-on-chip multiprocessor design, the software must be partitioned carefully. Too much interaction or dependence between processors can erase any advantages an embedded multiprocessor design ...
SANTA BARBARA, Calif., Feb. 6, 2019 /PRNewswire/ -- Green Hills Software, the worldwide leader in high-assurance operating systems, today announced that it has achieved certification of conformance of ...
Green Hills Software has been selected by an unnamed U.S. commercial and military navigation equipment supplier to provide a real-time multicore operating system, the company said. The DO-178B Level A ...
Multiprocessing is ubiquitous in today’s electronic systems. The key benefits are faster processing due to parallel execution and improved operating characteristics such as power, thermal and latency ...
HUNTSVILLE, Ala., Sept.18, 2018 /PRNewswire/ -- Green Hills Software, the worldwide leader in high-assurance operating systems, today announced that it has commenced verification and validation ...
Multi-core are emerging as solutions for high performance embedded systems. Although important work have been achieved in the design and implementation of such systems the issue of synchronization ...
image: ACM, the Association for Computing Machinery, today announced that Kunle Olukotun, a Professor at Stanford University, is the recipient of the ACM-IEEE CS Eckert-Mauchly Award for contributions ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results