Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Guangfei Zhang

dblp:52/11117 · DBLP profile ↗
← Back
7ranked-venue papers
2as first author
0since 2021 · last 2017
—ORCID · none

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

Systems, architecture and hardware · 4 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2Artificial intelligence and machine learning · 1Software engineering, systems software and programming languages · 1

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
Memory systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › memory controller
DRAM controller
0.112012
Heterogeneous multi-channel: fine-grained DRAM control for both system performance and power efficiency · DAC 2012
Memory systems › DRAM
DRAM power management
0.112012
Heterogeneous multi-channel: fine-grained DRAM control for both system performance and power efficiency · DAC 2012
Memory systems › memory controller
memory scheduling
0.012012
Heterogeneous multi-channel: fine-grained DRAM control for both system performance and power efficiency · DAC 2012

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

memory access algorithm · 0.1
YearPublicationVenuePosition
2017 Unitary transformations for spherical harmonics MUSIC
Qinghua Huang, Guangfei Zhang, Longfei Xiang, Yong Fang 0003
Signal Process.2
2016 Multiple-combinational-channel: A network architecture for workload balance and deadlock free
Yipeng Wang 0001, Huandong Wang, Wenxiang Wang, Hua Jing, Guangfei Zhang
Future Gener. Comput. Syst.6
2016 Real-valued DOA estimation for spherical arrays using sparse Bayesian learning
Qinghua Huang, Guangfei Zhang, Yong Fang 0003
Signal Process.2
2015 MRP: mix real cores and pseudo cores for FPGA-based chip-multiprocessor simulation
Xinke Chen, Guangfei Zhang, Huandong Wang, Ruiyang Wu 0001, Longbing Zhang
DATE2
2015 Real-Time Robust Model Predictive Control of Mobile Robots Based on Recurrent Neural Networks
Shuzhan Bi, Guangfei Zhang, Xijun Xue, Zheng Yan 0008
ICONIP (3)2
2012 Heterogeneous multi-channel: fine-grained DRAM control for both system performance and power efficiency
abstract
We propose a novel architecture of memory controller, called HMC (Heterogeneous Multi-Channel), as an improvement to the previous homogeneous multi-channel memory controller. HMC groups physical DRAM devices into logical sub-ranks with different data bus width, and controls them simultaneously. Employing new proposed memory access algorithm, HMC manages the number of devices involved in a single memory access flexibly, and achieves the best performance/power efficiency. Using four-core multiprogramming workloads, our experimental results show that HMC improves system performance by 27.6% with 24.2% reduction in DRAM power consumption on average.
Guangfei Zhang, Huandong Wang, Xinke Chen
DAC1
2012 Fair Memory Access Scheduling for Quality of Service Guarantees via Service Curves
abstract
This paper presents a new memory access scheduler, called FSCM (Fair Service Curve Memory access scheduler), which targets for the objective that provides the highest system throughput. The main idea of reordering memory access requests based on the service curve is borrowed from the literature of packet-switched networks. Different threads have different QoS (Quality-of-Service) requirements, and FSCM assigns each thread a service curve. The service curve gives great adaptability to FSCM in allocating its bandwidth. We evaluate FSCM using multi-threaded applications, and compare it to three previously proposed memory access schedulers. On a four-core CMP running combinations of workloads with a wide range of memory bandwidth and latency requirements, FSCM improves system performance by 16.7% on average, and provides the best fairness to all of the threads.
Guangfei Zhang, Huandong Wang, Xinke Chen
ISPA1