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» Automatic On-chip Memory Minimization for Data Reuse
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NPL
2006
137views more  NPL 2006»
13 years 7 months ago
Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
Chih-Ming Chen, Yung-Feng Lu, Chin-Ming Hong
FCCM
2000
IEEE
144views VLSI» more  FCCM 2000»
13 years 11 months ago
Automatic Synthesis of Data Storage and Control Structures for FPGA-Based Computing Engines
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...
Pedro C. Diniz, Joonseok Park
ICPP
1998
IEEE
13 years 11 months ago
A memory-layout oriented run-time technique for locality optimization
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 ...
Yong Yan, Xiaodong Zhang, Zhao Zhang
IPPS
2007
IEEE
14 years 1 months ago
A global address space framework for locality aware scheduling of block-sparse computations
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 ...
Sriram Krishnamoorthy, Ümit V. Çataly&...
ASPLOS
1991
ACM
13 years 11 months ago
The Cache Performance and Optimizations of Blocked Algorithms
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