6 citations · 9 across the 4 of their papers we have counts for
5 papers
DP-HLS: A High-Level Synthesis Framework for Accelerating Dynamic Programming Algorithms in Bioinformatics
Yingqi Cao, Anshu Gupta, Jason Liang +1
Dynamic programming (DP) based algorithms are essential yet compute-intensive parts of numerous bioinformatics pipelines, which typically involve populating a 2-D scoring matrix ba…
Parallel approach to sliding window sums
Roman Snytsar, Yatish Turakhia
Sliding window sums are widely used in bioinformatics applications, including sequence assembly, k-mer generation, hashing and compression. New vector algorithms which utilize the…
HoLiSwap: Reducing Wire Energy in L1 Caches
Yatish Turakhia, Subhasis Das, Tor M. Aamodt +1
This paper describes HoLiSwap a method to reduce L1 cache wire energy, a significant fraction of total cache energy, by swapping hot lines to the cache way nearest to the processor…
Thread Progress Equalization: Dynamically Adaptive Power and Performance Optimization of Multi-threaded Applications
Yatish Turakhia, Guangshuo Liu, Siddharth Garg +1
Dynamically adaptive multi-core architectures have been proposed as an effective solution to optimize performance for peak power constrained processors. In processors, the micro-ar…
Framework for Application Mapping over Packet-Switched Network of FPGAs: Case Studies
Vinay B. Y. Kumar, Pinalkumar Engineer, Mandar Datar +4
The algorithm-to-hardware High-level synthesis (HLS) tools today are purported to produce hardware comparable in quality to handcrafted designs, particularly with user directive dr…