October 26, 2016 - October 28, 2016
Marina Del Rey Marriott, Los Angeles, US
The increase in the number of processor cores has opened up new opportunities to take advantage of the parallelism available in modern data-centric applications and workloads. On the other hand, parallelising programs is still an error-prone and challenging task for the typical programmer.
Novel programming/execution models, which ease the job of the programmer while expose the hardware resources to the compiler/runtime/OS stack, are key to unleash the parallelism potential of future applications. In recent years task-based programming models (e.g. OpenMP and OpenSs) have shown to be a scalable and flexible approach to extract task parallelism from applications.
MPP 2016 brings together researchers and practitioners interested in developing novel computational models for parallel programming and architectures. Given the growing interest in task parallelism programming and execution models, MPP 2016 dedicated this edition to such programming model..
Papers submitted to MPP 2016 must be in IEEE format (Author Guidelines for 8.5 x 11-inch Proceedings Manuscripts). Papers may have up to 6 pages (including references) and must be written in English.
User Name : janetsofia
Posted on