Reconfigurable Technology and Systems (TRETS)


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ACM Transactions on Reconfigurable Technology and Systems (TRETS), Volume 1 Issue 2, June 2008

Special-Purpose Hardware for Solving the Elliptic Curve Discrete Logarithm Problem
Tim Güneysu, Christof Paar, Jan Pelzl
Article No.: 8
DOI: 10.1145/1371579.1371580

The resistance against powerful index-calculus attacks makes Elliptic Curve Cryptosystems (ECC) an interesting alternative to conventional asymmetric cryptosystems, like RSA. Operands in ECC require significantly less bits at the same level of...

Mercury BLASTP: Accelerating Protein Sequence Alignment
Arpith Jacob, Joseph Lancaster, Jeremy Buhler, Brandon Harris, Roger D. Chamberlain
Article No.: 9
DOI: 10.1145/1371579.1371581

Large-scale protein sequence comparison is an important but compute-intensive task in molecular biology. BLASTP is the most popular tool for comparative analysis of protein sequences. In recent years, an exponential increase in the size of protein...

Parametric Yield Modeling and Simulations of FPGA Circuits Considering Within-Die Delay Variations
Pete Sedcole, Peter Y. K. Cheung
Article No.: 10
DOI: 10.1145/1371579.1371582

Variations in the semiconductor fabrication process results in differences in parameters between transistors on the same die, a problem exacerbated by lithographic scaling. Field-Programmable Gate Arrays may be able to compensate for within-die...

Merged Dictionary Code Compression for FPGA Implementation of Custom Microcoded PEs
Bita Gorjiara, Mehrdad Reshadi, Daniel Gajski
Article No.: 11
DOI: 10.1145/1371579.1371583

Horizontal Microcoded Architecture (HMA) is a paradigm for designing programmable high-performance processing elements (PEs). However, it suffers from large code size, which can be addressed by compression. In this article, we study the code size...

Multivariate Gaussian Random Number Generation Targeting Reconfigurable Hardware
David B. Thomas, Wayne Luk
Article No.: 12
DOI: 10.1145/1371579.1371584

The multivariate Gaussian distribution is often used to model correlations between stochastic time-series, and can be used to explore the effect of these correlations across N time-series in Monte-Carlo simulations. However, generating...