27 citations · 132 across the 19 of their papers we have counts for
5 papers · 1 filter
SAF: Scalable Acceleration Framework for dynamic and flexible scaling of FPGAs
Masudul Hassan Quraishi, Michael Riera, Fengbo Ren +2
FPGAs are increasingly gaining traction in cloud and edge computing environments due to their hardware flexibility, low latency, and low energy consumption. However, the existing h…
FLASH 1.0: A Software Framework for Rapid Parallel Deployment and Enhancing Host Code Portability in Heterogeneous Computing
Michael Riera, Masudul Hassan Quraishi, Erfan Bank Tavakoli +1
This paper presents FLASH 1.0, a C++-based software framework for rapid parallel deployment and enhancing host code portability in heterogeneous computing. FLASH takes a novel appr…
HALO 1.0: A Hardware-agnostic Accelerator Orchestration Framework for Enabling Hardware-agnostic Programming with True Performance Portability for Heterogeneous HPC
Michael Riera, Erfan Bank Tavakoli, Masudul Hassan Quraishi +1
This paper presents HALO 1.0, an open-ended extensible multi-agent software framework that implements a set of proposed hardware-agnostic accelerator orchestration (HALO) principle…
Are FPGAs Suitable for Edge Computing?
Saman Biookaghazadeh, Fengbo Ren, Ming Zhao
The rapid growth of Internet-of-things (IoT) and artificial intelligence applications have called forth a new computing paradigm--edge computing. In this paper, we study the suitab…
A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks
Yixing Li, Zichuan Liu, Kai Xu +2
FPGA-based hardware accelerators for convolutional neural networks (CNNs) have obtained great attentions due to their higher energy efficiency than GPUs. However, it is challenging…