Paper Info
Title
A Modular Heterogeneous Stack for Deploying FPGAs and CPUs in the Data Center.
Abstract
In this work we present a heterogeneous deployment stack, calledGalapagos, that includes the abstraction of individual nodes (FPGAsand CPUs), the communication protocols between nodes and theorchestration and connection of these nodes into clusters. The stackwe create is also highly modular, allowing users to explore a designspace in the implementation of their cluster such as different net-work protocols or communication layers. The communication layerwe have currently implemented within our hardware stack, calledHUMboldt, handles heterogeneous communication between multi-ple FPGAs and CPUs. We implementHUMboldtusing High-LevelSynthesis (HLS) to ensure functional portability of communicatingkernels, allowing us to prototype hardware kernels in software. Ourresults have shown that our modular approach to this heterogeneousdeployment stack has introduced very little area and latency over-head in the FPGAs and can still perform at line-rate, bottleneckedsolely by the network links connecting the nodes. Our results alsohighlight the scalability of our design as our performance remainslimited by the network links when the cluster size increases.
Year
DOI
Venue
2019
10.1145/3289602.3293909
FPGA
Keywords
Field
DocType
Abstraction layers, reconfigurable computing, deployment stack, heterogeneous computing, FPGAs, communication Layer, orchestration, high-performance computing, cloud computing
Supercomputer,Computer science,Parallel computing,Symmetric multiprocessor system,Field-programmable gate array,Software portability,Modular design,Reconfigurable computing,Communications protocol,Scalability,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4503-6137-8
2
0.38
References 
Authors
7
4
Name
Order
Citations
PageRank
Nariman Eskandari171.55
Naif Tarafdar2445.14
Daniel Ly-Ma320.38
Paul Chow4868119.97