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Zheng Xu 0006

dblp:83/2535-6 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · conflict

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

Systems, architecture and hardware · 3

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
Energy-efficient computing · 87% Memory systems · 13%

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

TopicWeightPapersLastEvidence papers
Energy-efficient computing › power management
dynamic voltage and frequency scaling
0.212013
Dynamic voltage and frequency scaling for shared resources in multicore processor designs · DAC 2013
Energy-efficient computing
voltage and frequency scaling
0.212013
Dynamic voltage and frequency scaling for shared resources in multicore processor designs · DAC 2013
Memory systems › memory hierarchy › cache hierarchy
last-level cache
0.012013
Dynamic voltage and frequency scaling for shared resources in multicore processor designs · DAC 2013

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

full-system simulation · 0.2
YearPublicationVenuePosition
2013 Dynamic voltage and frequency scaling for shared resources in multicore processor designs
abstract
As the core count in processor chips grows, so do the on-die, shared resources such as on-chip communication fabric and shared cache, which are of paramount importance for chip performance and power. This paper presents a method for dynamic voltage/frequency scaling of networks-on-chip and last level caches in multicore processor designs, where the shared resources form a single voltage/frequency domain. Several new techniques for monitoring and control are developed, and validated through full system simulations on the PARSEC benchmarks. These techniques reduce energy-delay product by 56% compared to a state-of-the-art prior work.
Zheng Xu 0006, Paul Gratz, Jiang Hu 0001, Michael Kishinevsky, Ümit Y. Ogras, Raid Ayoub
DAC2
2013 In-network monitoring and control policy for DVFS of CMP networks-on-chip and last level caches
abstract
In chip design today and for a foreseeable future, the last-level cache and on-chip interconnect is not only performance critical but also a substantial power consumer. This work focuses on employing dynamic voltage and frequency scaling (DVFS) policies for networks-on-chip (NoC) and shared, distributed last-level caches (LLC). In particular, we consider a practical system architecture where the distributed LLC and the NoC share a voltage/frequency domain that is separate from the core domain. This architecture enables the control of the relative speed between the cores and memory hierarchy without introducing synchronization delays within the NoC. DVFS for this architecture is more complex than individual link/core-based DVFS since it involves spatially distributed monitoring and control. We propose an average memory access time (AMAT)-based monitoring technique and integrate it with DVFS based on PID control theory. Simulations on PARSEC benchmarks yield a 27% energy savings with a negligible impact on system performance.
Zheng Xu 0006, Paul Gratz, Jiang Hu 0001, Michael Kishinevsky, Ümit Y. Ogras
ACM Trans. Design Autom. Electr. Syst.2
2012 In-network Monitoring and Control Policy for DVFS of CMP Networks-on-Chip and Last Level Caches
abstract
In chip design today and for a foreseeable future, on-chip communication is not only a performance bottleneck but also a substantial power consumer. This work focuses on employing dynamic voltage and frequency scaling (DVFS) policies for networks-on-chip (NoC) and shared, distributed last-level caches (LLC). In particular, we consider a practical system architecture where the distributed LLC and the NoC share a voltage/frequency domain which is separate from the core domain. This architecture enables controlling the relative speed between the cores and memory hierarchy without introducing synchronization delays within the NoC. DVFS for this architecture is more difficult than individual link/core-based DVFS since it involves spatially distributed monitoring and control. We propose an average memory access time (AMAT)-based monitoring technique and integrate it with DVFS based on PID control theory. Simulations on PARSEC benchmarks yield a 33% dynamic energy savings with a negligible impact on system performance.
Zheng Xu 0006, Paul Gratz, Jiang Hu 0001, Michael Kishinevsky, Ümit Y. Ogras
NOCS2