The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
One of the challenges in large scale distributed computing is to utilize the thousands of idle personal computers. In this paper, we present a system that enables users to e ortles...
Concurrent ML is an extension of Standard ML with π-calculus-like primitives for multi-threaded programming. CML has a reduction semantics, but to date there has been no labelled...
Virtual machine service threads can perform many tasks in parallel with program execution such as garbage collection, dynamic compilation, and profile collection and analysis. Har...
- This paper presents software synthesis techniques to deal with non-primitive data type from graphical dataflow programs based on the synchronous dataflow (SDF) model. Non-primiti...