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 Abhinandan Majumdar

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Bibliometrics: publication history
Average citations per article7.00
Citation Count28
Publication count4
Publication years2010-2012
Available for download2
Average downloads per article1,039.50
Downloads (cumulative)2,079
Downloads (12 Months)217
Downloads (6 Weeks)30
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4 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
March 2012 ACM Transactions on Architecture and Code Optimization (TACO): Volume 9 Issue 1, March 2012
Publisher: ACM
Bibliometrics:
Citation Count: 12
Downloads (6 Weeks): 17,   Downloads (12 Months): 111,   Downloads (Overall): 1,063

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Applications that use learning and classification algorithms operate on large amounts of unstructured data, and have stringent performance constraints. For such applications, the performance of general purpose processors scales poorly with data size because of their limited support for fine-grained parallelism and absence of software-managed caches. The large intermediate data ...
Keywords: Accelerator-based computing, heterogeneous computing, machine learning, parallel computing, architecture

2
June 2011 SASP '11: Proceedings of the 2011 IEEE 9th Symposium on Application Specific Processors
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Semantic text analysis is a technique used in advertisement placement, cognitive databases and search engines. With increasing amounts of data and stringent response-time requirements, improving the underlying implementation of semantic analysis becomes critical. To this end, we look at Supervised Semantic Indexing (SSI), a recently proposed algorithm for semantic analysis. ...

3
March 2011 IEEE Embedded Systems Letters: Volume 3 Issue 1, March 2011
Publisher: IEEE Press
Bibliometrics:
Citation Count: 4

Embedded learning applications in automobiles, surveillance, robotics, and defense are computationally intensive, and process large amounts of real-time data. Systems for such workloads have to balance stringent performance constraints within limited power budgets. High performance computer processing units (CPUs) and graphics processing units (GPUs) cannot be used in an embedded ...
Keywords: Domain-specific accelerators, energy-efficient heterogeneous systems

4 published by ACM
September 2010 PACT '10: Proceedings of the 19th international conference on Parallel architectures and compilation techniques
Publisher: ACM
Bibliometrics:
Citation Count: 12
Downloads (6 Weeks): 13,   Downloads (12 Months): 106,   Downloads (Overall): 1,016

Full text available: PDFPDF
For learning and classification workloads that operate on large amounts of unstructured data with stringent performance constraints, general purpose processor performance scales poorly with data size. In this paper, we present a programmable accelerator for this workload domain. To architect the accelerator, we profile five representative workloads, and find that ...
Keywords: heterogeneous computing, machine learning, accelerator-based systems, parallel computing



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