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Meilai Jin

dblp:141/9403 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Systems, architecture and hardware · 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
Reconfigurable computing and FPGAs · 61% GPUs and heterogeneous computing · 30% Energy-efficient computing · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Reconfigurable computing and FPGAs
FPGA architecture
0.212014
A FPGA prototype design emphasis on low power technique · FPGA 2014
Reconfigurable computing and FPGAs
FPGA power reduction
0.212014
A FPGA prototype design emphasis on low power technique · FPGA 2014
GPUs and heterogeneous computing › heterogeneous architecture
heterogeneous tiled architecture
0.212014
A FPGA prototype design emphasis on low power technique · FPGA 2014

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

static timing analysis · 0.2
YearPublicationVenuePosition
2014 A FPGA prototype design emphasis on low power technique
abstract
In this paper, we propose a fully-functional Nanometer FPGA prototype chip. Compared to traditional single supply voltage, single threshold voltage design, we explore low power nanometer FPGA design challenges with Multi-Vt, Static Voltage Scaling and sleep mode technique. Compared to Dynamic Voltage Scaling (DVS), we make a table of Voltage-Delay parameter pairs under different voltage conditions so that timing information can be calculated by a Static Timing Analysis (STA) tool. Thus a lowest supply power is chosen among all results which meet the timing requirements. This approach would simplify the hardware design since we don't need a complex workload detection circuit compared to DVS system. By separating supply voltages, we can directly shutdown power supply of the unused circuits. Compared to inserting sleep transistor in pull-up or pull-down networks, we can eliminate the speed penalty cased by the additional sleep transistor. We implement a tile-based heterogeneous architecture with island style routing and embedded specific blocks such as DSP and memory. The array size is 64×31 (Row×Col) including 64×24 CLBs. The final design is fabricated using a 1P10M 65-nm bulk CMOS process. Test results show a 53% reduction in static power compared to a commercial FPGA device which is also fabricated in 65nm process and has a similar array size.
Jian Wang 0036, Meilai Jin
FPGA3