Demo Data from EDBT 2026 / reviewers in the wild / expert
Guangfei Zhang
dblp:52/11117
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › memory controller
DRAM controller |
0.1 | 1 | 2012 | Heterogeneous multi-channel: fine-grained DRAM control for both system performance and power efficiency · DAC 2012 |
Memory systems › DRAM
DRAM power management |
0.1 | 1 | 2012 | Heterogeneous multi-channel: fine-grained DRAM control for both system performance and power efficiency · DAC 2012 |
Memory systems › memory controller
memory scheduling |
0.0 | 1 | 2012 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 |
DATE | 2 |
| 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 efficiencyabstractWe 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 |
DAC | 1 |
| 2012 | Fair Memory Access Scheduling for Quality of Service Guarantees via Service CurvesabstractThis 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 |
ISPA | 1 |