Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
1911.08905
Cited By

FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and
Inference on Intel Stratix 10

FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10

Symposium on Field Programmable Gate Arrays (FPGA), 2019

18 November 2019

ArXiv (abs)PDF HTML

Papers citing "FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10"

4 / 4 papers shown

Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and
Dataflow Co-Design

Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-DesignIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023

178

20

0

22 Sep 2023

EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data
Reshaping for Online Adaptation or Personalization

EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization

139

23

0

18 Feb 2022

Towards a Scalable and Distributed Infrastructure for Deep Learning
Applications

Towards a Scalable and Distributed Infrastructure for Deep Learning Applications

Bita Hasheminezhad

389

4

0

06 Oct 2020

Caffe Barista: Brewing Caffe with FPGAs in the Training Loop

Caffe Barista: Brewing Caffe with FPGAs in the Training Loop

Stylianos I. Venieris

144

7

0

18 Jun 2020