UDP: a programmable accelerator for extract-transform-load workloads and more

Y Fang, C Zou, AJ Elmore, AA Chien - … of the 50th Annual IEEE/ACM …, 2017 - dl.acm.org
Big data analytic applications give rise to large-scale extract-transform-load (ETL) as a
fundamental step to transform new data into a native representation. ETL workloads pose …

HReA: An energy-efficient embedded dynamically reconfigurable fabric for 13-dwarfs processing

L Liu, Z Li, C Yang, C Deng, S Yin… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this brief, a hybrid-grained reconfigurable architecture (HReA) is introduced to process 13-
Dwarfs. The proposed dynamically reconfigurable fabric consists of four 4× 4 multi-functional …

[图书][B] Dynamic streamprocessing pipelines on FPGAs targeting database acceleration

M Vesper - 2019 - search.proquest.com
With CPU performance scaling having decelerated significantly with the end of frequency
scaling due to the power ceiling the industry has started to look into alternative accelerators …

[图书][B] Computer Architecture for Scientists

AA Chien - 2022 - books.google.com
The dramatic increase in computer performance has been extraordinary, but not for all
computations: it has key limits and structure. Software architects, developers, and even data …

Telescoping Architectures: Evaluating Next-Generation Heterogeneous Computing

K Krommydas, W Feng - 2016 IEEE 23rd International …, 2016 - ieeexplore.ieee.org
Architectural innovation has telescoped the HPC community from the commodity (Beowulf)
cluster in a machine room, ie, a multi-node system with Ethernet interconnect, to a …

Towards enhancing performance, programmability, and portability in heterogeneous computing

K Krommydas - 2017 - vtechworks.lib.vt.edu
The proliferation of a diverse set of heterogeneous computing platforms in conjunction with
the plethora of programming languages and optimization techniques on each language for …

[PDF][PDF] Extreme Acceleration and Seamless Integration of Raw Data Analysis

Y Fang - newtraell.cs.uchicago.edu
New sources of “big data” such as the Internet, mobile applications, data-driven science and
large-scale sensors (IoT) are driving the demand for growing computing performance. The …

Extreme Acceleration and Seamless Integration of Raw Data Processing

Y Fang - 2019 - search.proquest.com
New sources of big data such as the Internet, mobile applications, data-driven science and
large-scale sensors (IoT) are driving demand for growing computing performance. Efficient …

Making the On-Chip World Smaller with Low-Latency On-Chip Networks

Y Asgarieh - 2017 - escholarship.org
Multi-core processors have rapidly grown in core count since the first commercial dual-core
processor in 2001. Today, general-purpose multi-cores with 32 cores and embedded multi …

[图书][B] System Design for Heterogeneous Architectures

S Panneerselvam - 2016 - search.proquest.com
Heterogeneous architectures have been embraced widely in most computing environments.
These designs are provisioned with compute units of different power-performance …