A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
E cient, deeply pipelined implementations exist for a wide variety of important computation-intensive applications, and many special-purpose hardware machines have been built that...
Darren C. Cronquist, Paul Franklin, Stefan G. Berg...
In this paper, we present several novel strategies to improve software controlled cache utilization, so as to achieve lower power requirements for multi-media and signal processin...
Sparse LU factorization with partial pivoting is important for many scienti c applications and delivering high performance for this problem is di cult on distributed memory machin...
Highly aggressive multi-issue processor designs of the past few years and projections for the next decade require that we redesign the operation of the cache memory system. The nu...
Jude A. Rivers, Gary S. Tyson, Edward S. Davidson,...