The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
Mapping computations written in high-level programming languages to FPGA-based computing engines requires programmers to generate the datapath responsible for the core of the comp...
Exploiting locality at run-time is a complementary approach to a compiler approach for those applications with dynamic memory access patterns. This paper proposes a memory-layout ...
In this paper, we present a mechanism for automatic management of the memory hierarchy, including secondary storage, in the context of a global address space parallel programming ...
Blocking is a well-known optimization technique for improving the effectiveness of memory hierarchies. Instead of operating on entire rows or columns of an array, blocked algorith...
Monica S. Lam, Edward E. Rothberg, Michael E. Wolf