Resource-Efficient Database Query Processing on FPGAs-Reference-Cited by-同舟云学术

Resource-Efficient Database Query Processing on FPGAs

Published:2021-06-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th International Workshop on Data Management on New Hardware (DaMoN 2021)
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Author:

Moghaddamfar Mehdi¹,Färber Christian²,Lehner Wolfgang³,May Norman⁴,Kumar Akash³

Affiliation:

1. TU Dresden & SAP SE

2. Intel Corporation

3. TU Dresden

4. SAP SE

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3465998.3466006

Reference39 articles.

1. FPGA-accelerated group-by aggregation using synchronizing caches

2. Inc.Amazon.com. 2017. Amazon EC2 F1 Instances Customizable FPGAs for Hardware Acceleration Are Now Generally Available. https://aws.amazon.com/about-aws/whats-new/2017/04/amazon-ec2-f1-instances-customizable-fpgas-for-hardware-acceleration-are-now-generally-available/. (Accessed on 01/25/2021). Inc.Amazon.com. 2017. Amazon EC2 F1 Instances Customizable FPGAs for Hardware Acceleration Are Now Generally Available. https://aws.amazon.com/about-aws/whats-new/2017/04/amazon-ec2-f1-instances-customizable-fpgas-for-hardware-acceleration-are-now-generally-available/. (Accessed on 01/25/2021).

3. Chisel

4. Multi-core, main-memory joins

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