This paper addresses the issue of how to meet the strict timing constraints of (soft) real-time virtualized applications while the Virtual Machine (VM) hosting them is undergoing a...
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
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...
Reconfigurable computing systems remain difficult to use and program. One way to increase design productivity for these systems is through reuse of previously developed and veri...
Spatially-tiled architectures, such as Coarse-Grained Reconfigurable Arrays (CGRAs), are powerful architectures for accelerating applications in the digital-signal processing, em...
Brian Van Essen, Aaron Wood, Allan Carroll, Stephe...