In traditional job scheduling systems for the Grid, a single or a few machines handle information of all computing resources and scheduling tasks. This centralized approach is not...
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Abstract. Bulk Synchronous Parallel ML or BSML is a functional dataparallel language for programming bulk synchronous parallel (BSP) algorithms. The execution time can be estimated...
This paper summarizes the design and implementation of a parallel algorithm for state assignment of large Finite State Machines (FSMs). High performance CAD tools are necessary to...
Memory requirements of intellectual property components (IP) in contemporary multi-processor systems-on-chip are increasing. Large high-speed external memories, such as DDR2 SDRAM...