8476

Reusable OpenCL FPGA Infrastructure

Stephen Alexander Chin
Graduate Department of Electrical and Computer Engineering, University of Toronto
University of Toronto, 2012
@phdthesis{chin2012reusable,

   title={Reusable OpenCL FPGA Infrastructure},

   author={Chin, S.A.},

   year={2012},

   school={University of Toronto}

}

Download Download (PDF)   View View   Source Source   

1285

views

OpenCL has emerged as a standard programming model for heterogeneous systems. Recent work combining OpenCL and FPGAs has focused on high-level synthesis. Building a complete OpenCL FPGA system requires more than just high-level synthesis. This work introduces a reusable OpenCL infrastructure for FPGAs that complements previous work and specifically targets a key architectural element – the memory interface. An Aggregating Memory Controller that aims to maximize bandwidth to external, large, high-latency, high-bandwidth memories and a template Processing Array with soft-processor and hand-coded hardware elements are designed, simulated, and implemented on an FPGA. Two micro-benchmarks were run on both the soft-processor elements and the hand-coded hardware elements to exercise the Aggregating Memory Controller. The micro-benchmarks were simulated as well as implemented in a hardware prototype. Memory bandwidth results for the system show that the external memory interface can be saturated and the high-latency can be effectively hidden using the Aggregating Memory Controller.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

Recent source codes

* * *

* * *

TwitterAPIExchange Object
(
    [oauth_access_token:TwitterAPIExchange:private] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
    [oauth_access_token_secret:TwitterAPIExchange:private] => o29ji3VLVmB6jASMqY8G7QZDCrdFmoTvCDNNUlb7s
    [consumer_key:TwitterAPIExchange:private] => TdQb63pho0ak9VevwMWpEgXAE
    [consumer_secret:TwitterAPIExchange:private] => Uq4rWz7nUnH1y6ab6uQ9xMk0KLcDrmckneEMdlq6G5E0jlQCFx
    [postfields:TwitterAPIExchange:private] => 
    [getfield:TwitterAPIExchange:private] => ?cursor=-1&screen_name=hgpu&skip_status=true&include_user_entities=false
    [oauth:protected] => Array
        (
            [oauth_consumer_key] => TdQb63pho0ak9VevwMWpEgXAE
            [oauth_nonce] => 1472014661
            [oauth_signature_method] => HMAC-SHA1
            [oauth_token] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
            [oauth_timestamp] => 1472014661
            [oauth_version] => 1.0
            [cursor] => -1
            [screen_name] => hgpu
            [skip_status] => true
            [include_user_entities] => false
            [oauth_signature] => nZBXyu0SjrtZMeD08SYD8BPmTAc=
        )

    [url] => https://api.twitter.com/1.1/users/show.json
)
Follow us on Facebook
Follow us on Twitter

HGPU group

1965 peoples are following HGPU @twitter

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: