Architectural and organizational tradeoffs in the design of the MultiTitan CPU
ISCA '89 Proceedings of the 16th annual international symposium on Computer architecture
Data access microarchitectures for superscalar processors with compiler-assisted data prefetching
MICRO 24 Proceedings of the 24th annual international symposium on Microarchitecture
An effective on-chip preloading scheme to reduce data access penalty
Proceedings of the 1991 ACM/IEEE conference on Supercomputing
Design and evaluation of a compiler algorithm for prefetching
ASPLOS V Proceedings of the fifth international conference on Architectural support for programming languages and operating systems
(invited paper) A new theoretical framework for information retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Potentials and limitations of fault-based Markov prefetching for virtual memory pages
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
ISCA '90 Proceedings of the 17th annual international symposium on Computer Architecture
Essentials of Computer Organization and Architecture
Essentials of Computer Organization and Architecture
Constructing Suffix Trees On-Line in Linear Time
Proceedings of the IFIP 12th World Computer Congress on Algorithms, Software, Architecture - Information Processing '92, Volume 1 - Volume I
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
Aggressive prefetching: an idea whose time has come
HOTOS'05 Proceedings of the 10th conference on Hot Topics in Operating Systems - Volume 10
Layered Memory Architecture for High IO Intensive Information Services to Achieve Timeliness
HASE '08 Proceedings of the 2008 11th IEEE High Assurance Systems Engineering Symposium
A Taxonomy of Similarity Mechanisms for Case-Based Reasoning
IEEE Transactions on Knowledge and Data Engineering
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Cache being the fastest medium in memory hierarchy has a vital role to play for fully exploiting available resources, concealing latencies in IO operations, languishing the impact of these latencies and hence in improving system response time. Despite plenty of efforts made, caches alone cannot comprehend larger storage requirements without prefetching. Cache prefetching is speculatively fetching data to restrain all delays. However, effective prefetching requires a strong prediction mechanism to load relevant data with higher degree of accuracy. In order to ameliorate the predictive performance of cache prefetching, we applied the hybrid of two AI approaches named case based reasoning (CBR) and artificial neural networks (ANN). CBR maintains the past experience and ANN are used in adaptation phase of CBR instead of employing static rule base. The novelty of technique in this domain is valued due to hybrid of two approaches as well as usage of suffix tree in populating the CBR's case base. Suffix trees provide rich data patterns for populating case base and greatly enhanced the overall performance. A number of evaluations from different aspects with varying parameters are presented (along with some findings) where the efficacy of our technique is affirmed with improved predictive accuracy and reduced level of associated costs.