1856693
Application specific forwarding network and instruction encoding for multi-pipe ASIPs
Small area and code size are two critical design issues in most of embedded system designs. In this paper, we tackle these issues by customizing forwarding networks and instruction encoding schemes for multi-pipe Application Specific Instruction-Set Processors (ASIPs). Forwarding is a popular technique to reduce data hazards in the pipeline to improve performance and is applied in almost all modern processor designs; but it is very area expensive. Instruction encoding schemes have a direct impact on code size; an efficient encoding method can lead to a small instruction width, and hence reducing the code size. We propose application specific techniques to reduce forwarding networks and instruction widths for ASIPs with multiple pipelines. By these design techniques, it is possible to reduce area, code size, and even power consumption (due to reduced area), without costing any performance. Our experiments, on a set of benchmarks using the proposed customization approaches show that, on average, there are 27% savings on area, 30% on leakage power, 16.7% on code size, and at the same time, performance even improves by 4% because of the reduced clock period.
7995704
Dual-pipeline heterogeneous ASIP design
We demonstrate the feasibility of a dual pipeline application specific instruction set processor. We take a C program and create a target instruction set by compiling to a basic instruction set from which some instructions are merged, while others discarded. Based on the target instruction set, parallelism of the application program is analyzed and two unique instruction sets are generated for a heterogeneous dual-pipeline processor. The dual pipe processor is created by making two unique ASIPs (VHDL descriptions) utilizing the ASIP-Meister Tool Suite, and fusing the two VHDL descriptions to construct a dual pipeline processor. Our results show that in comparison to the single pipeline application specific instruction set processor, the performance improves by 27.6% and switching activity reduces by 6.1% for a number of benchmarks. These improvements come at the cost of increased area which for benchmarks considered is 16.7% on average.
39832973
Learning Ontologies to Improve the Quality of Automatic Web Service Matching
Automatically finding suitable Web services given a request is a difficult problem because the interface descriptions of Web services are often terse and cryptic. Dictionary and information retrieval based techniques have proven useful in disambiguating the semantics of service descriptions, but they are limited in their capability to consider the relationships between the words describing the Web services. Current ontology-based approaches typically require a user to explicitly create domain ontologies. This paper presents a novel technique that significantly improves the quality of semantic Web service matching by (1) automatically generating ontologies based on Web service descriptions and (2) using these ontologies to guide the mapping between Web services. Our approach differs from earlier work on service matching by considering the relationship between words rather than treating them as a bag of unrelated words. The experimental results indicate that with our unsupervised approach we can eliminate up to 70% of incorrect matches that are made by dictionary-based approaches.
29819645
Support for relaxed currency and consistency constraints in MTCache