Title
FPGA-based Near-Memory Acceleration of Modern Data-Intensive Applications
Abstract
Modern data-intensive applications demand high computational capabilities with strict power constraints. Unfortunately, such applications suffer from a significant waste of both execution cycles and energy in current computing systems due to the costly data movement between the computation units and the memory units. Genome analysis and weather prediction are two examples of such applications. Rec...
Year
DOI
Venue
2021
10.1109/MM.2021.3088396
IEEE Micro
Keywords
DocType
Volume
Field programmable gate arrays,Genomics,Bioinformatics,Random access memory,Kernel,Instruction sets,Table lookup
Journal
41
Issue
ISSN
Citations 
4
0272-1732
8
PageRank 
References 
Authors
0.40
0
7
Name
Order
Citations
PageRank
Gagandeep Singh17811.52
Mohammed Alser280.40
Damla Senol Cali3343.32
Dionysios Diamantopoulos4267.11
Juan Gómez-Luna520923.34
Henk Corporaal61787166.20
Onur Mutlu79446357.40