The enormous potential for wireless sensor networks to make a positive impact on our society has spawned a great deal of research on the topic, and this research is now producing ...
Pei Zhang, Christopher M. Sadler, Stephen A. Lyon,...
This paper presents a model for instruction-level distributed computing that allows the implementation of scalable chip multiprocessors. Based on explicit microthreading it serves ...
When we have multiple users compiling a single message, including shared contents, metadata, policy, and so on, the integrity of the contents created by individual users needs to ...
SCALLOP is a highly scalable solver and library for elliptic partial differential equations on regular block-structured domains. SCALLOP avoids high communication overheads algor...
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...