Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
As IPC mechanisms become faster, stub-code efficiency becomes a performance issue for local client/server RPCs and inter-component communication. Inefficient and unnecessary compl...
Andreas Haeberlen, Jochen Liedtke, Yoonho Park, La...
Distributed Computing, the exploitation of idle cycles on pervasive desktop PC systems offers the opportunity to increase the available computing power by orders of magnitude (10x...
Networks-on-Chips (NoCs) are an emerging communication topology paradigm in single chip VLSI design, enhancing parallelism and system scalability. Processing units (PUs) connect t...
Power consumption has become a major constraint in the design of processors today. To optimize a processor for energyefficiency requires an examination of energy-performance trade...
Omid Azizi, Aqeel Mahesri, Benjamin C. Lee, Sanjay...