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Haofan Yang 0001

dblp:49/11177 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2014
0000-0003-4825-2867ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Interconnection networks and networks-on-chip · 91% Processor architecture and microarchitecture · 9%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip › network topology
network diameter
0.212014
Dodec: Random-Link, Low-Radix On-Chip Networks · MICRO 2014
Interconnection networks and networks-on-chip
network topology
0.212014
Dodec: Random-Link, Low-Radix On-Chip Networks · MICRO 2014
Interconnection networks and networks-on-chip › network topology › static interconnection networks
random topology
0.212014
Dodec: Random-Link, Low-Radix On-Chip Networks · MICRO 2014
Processor architecture and microarchitecture
many-core architecture
0.112014
Dodec: Random-Link, Low-Radix On-Chip Networks · MICRO 2014

Methods — techniques the papers use, named apart from their topics

topology design · 0.2simulation · 0.2
YearPublicationVenuePosition
2014 Dodec: Random-Link, Low-Radix On-Chip Networks
abstract
Network topology plays a vital role in chip design, it largely determines network cost (power and area) and significantly impacts communication performance in many-core architectures. Conventional topologies such as a 2D mesh have drawbacks including high diameter as the network scales and poor load balancing for the center nodes. We propose a methodology to design random topologies for on-chip networks. Random topologies provide better scalability in terms of network diameter and provide inherent load balancing. As a proof-of-concept for random on-chip topologies, we explore a novel set of networks -- do decs -- and illustrate how they reduce network diameter with randomized low-radix router connections. While a 4 × 4 mesh has a diameter of 6, our dodec has a diameter of 4 with lower cost. By introducing randomness, dodec networks exhibit more uniform message latency. By using low-radix routers, dodec networks simplify the router micro architecture and attain 20% area and 22% power reduction compared to mesh routers while delivering the same overall application performance for PARSEC.
Haofan Yang 0001, Jyoti Tripathi, Natalie D. Enright Jerger, Dan Gibson
MICRO1
2013 Implementation and optimization of 3780-point FFT on multi-core system
abstract
The 3780-point FFT is a main component of the time domain synchronous OFDM (TDS-OFDM) system in the Chinese Digital Terrestrial Multimedia Broadcasting (DTMB) national standard. In this paper, we proposed a pure software solution for the 3780-point FFT on a multi-core processor to achieve high performance and high flexibility. A new 12-point FFT implementation is used to improve system performance significantly since it is one of the key modules in 3780-point FFT. Together with some other techniques such as optimized assembly code, this 3780-point FFT improves the throughput by 39.26% and reduces the number of instructions by 19.9% compared with the non-optimized method. The throughput achieves 13.595 Msamples/s and meets the requirement of DMBT standard.
Ming-e Jing, Zhiyi Yu, Xiaoyang Zeng, Jiayi Sheng, Haofan Yang 0001
ISCAS5