We present an algorithm for scheduling distributed data intensive Bag-of-Task applications on Data Grids that have costs associated with requesting, transferring and processing da...
With the emergence of commodity multicore architectures, exploiting tightly-coupled parallelism has become increasingly important. Functional programming languages, such as Haskel...
Abdallah Al Zain, Kevin Hammond, Jost Berthold, Ph...
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
— This paper describes an architecture and FPGA synthesis toolchain for building specialized, energy-saving coprocessors called Irregular Code Energy Reducers (ICERs) for a wide ...
Manish Arora, Jack Sampson, Nathan Goulding-Hotta,...