Multi-core and Embedded Software: Optimize Performance by Resolving Resource Contention
Deployment on multi-core CPUs should make software faster. But processes running in parallel often contend for system software resources, actually reducing overall performance. Achieving multi-core’s promised linear performance gains hinges on resolving this issue. This Webinar looks at two such conflicts — contention in updating a shared data store, and threads vying for access to the C/C++ memory manager — in-depth, and addresses them with techniques that can provide the basis to solve other multi-core resource conflicts.
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