elaheh-sadredini Goto Github PK
Name: Elaheh Sadredini
Type: User
Bio: Research assistant at the University of Virginia
Name: Elaheh Sadredini
Type: User
Bio: Research assistant at the University of Virginia
High-performance automata-processing engines are traditionally evaluated using a limited set of regular expression rulesets. While regular expression rulesets are valid real-world examples of use cases for automata processing, they represent a small proportion of all use cases for automata-based computing. With the recent availability of architectures and software frameworks for automata processing, many new applications have been found to benefit from automata processing. These show a wide variety of characteristics that differ from prior, popular regular-expression benchmarks, and these should be considered when designing new systems for automata processing. This paper presents ANMLZoo, a benchmark repository for automata-based applications as well as automata engines for both von-Neumann and reconfigurable data flow architectures.
Rule-based part-of-speech tagging with different baseline taggers and different set of rules.
Frequent subtree mining with breadth-first search approach on the GPU (CUDA)
Supplementary materials for our MICRO-52 paper
An open-source static random access memory (SRAM) compiler.
A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf
Sequential pattern mining
BFS implementation of frequent subtree mining problem
UVA Thesis Template
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