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Ivan Stalev

dblp:149/3930 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Systems, architecture and hardware · 2Applied, interdisciplinary, general and emerging computing · 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
Energy-efficient computing · 57% Memory systems · 38% Processor architecture and microarchitecture · 6%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems
cache
0.212015
EECache: A Comprehensive Study on the Architectural Design for Energy-Efficient Last-Level Caches in Chip Multiprocessors · ACM Trans. Archit. Code Optim. 2015
Energy-efficient computing › power management › memory power management
cache energy reduction
0.212015
EECache: A Comprehensive Study on the Architectural Design for Energy-Efficient Last-Level Caches in Chip Multiprocessors · ACM Trans. Archit. Code Optim. 2015
Memory systems › memory hierarchy › cache hierarchy
last-level cache
0.212015
EECache: A Comprehensive Study on the Architectural Design for Energy-Efficient Last-Level Caches in Chip Multiprocessors · ACM Trans. Archit. Code Optim. 2015
Energy-efficient computing › memory energy efficiency
low-power cache design
0.212015
EECache: A Comprehensive Study on the Architectural Design for Energy-Efficient Last-Level Caches in Chip Multiprocessors · ACM Trans. Archit. Code Optim. 2015
Energy-efficient computing
power management
0.212015
EECache: A Comprehensive Study on the Architectural Design for Energy-Efficient Last-Level Caches in Chip Multiprocessors · ACM Trans. Archit. Code Optim. 2015
Processor architecture and microarchitecture
chip multiprocessor
0.112015
EECache: A Comprehensive Study on the Architectural Design for Energy-Efficient Last-Level Caches in Chip Multiprocessors · ACM Trans. Archit. Code Optim. 2015

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

slice-based cache organization · 0.2sampling-based hardware · 0.2data migration · 0.2
YearPublicationVenuePosition
2015 EECache: A Comprehensive Study on the Architectural Design for Energy-Efficient Last-Level Caches in Chip Multiprocessors
abstract
Power management for large last-level caches (LLCs) is important in chip multiprocessors (CMPs), as the leakage power of LLCs accounts for a significant fraction of the limited on-chip power budget. Since not all workloads running on CMPs need the entire cache, portions of a large, shared LLC can be disabled to save energy. In this article, we explore different design choices, from circuit-level cache organization to microarchitectural management policies, to propose a low-overhead runtime mechanism for energy reduction in the large, shared LLC. We first introduce a slice-based cache organization that can shut down parts of the shared LLC with minimal circuit overhead. Based on this slice-based organization, part of the shared LLC can be turned off according to the spatial and temporal cache access behavior captured by low-overhead sampling-based hardware. In order to eliminate the performance penalties caused by flushing data before powering off a cache slice, we propose data migration policies to prevent the loss of useful data in the LLC. Results show that our energy-efficient cache design (EECache) provides 14.1% energy savings at only 1.2% performance degradation and consumes negligible hardware overhead compared to prior work.
Hsiang-Yun Cheng, Matthew Poremba, Narges Shahidi, Ivan Stalev, Mary Jane Irwin, Mahmut T. Kandemir, Jack Sampson, Yuan Xie 0001
ACM Trans. Archit. Code Optim.4
2014 EECache: exploiting design choices in energy-efficient last-level caches for chip multiprocessors
abstract
Power management for large last-level caches (LLCs) is important in chip-multiprocessors (CMPs), as the leakage power of LLCs accounts for a significant fraction of the limited on-chip power budget. Since not all workloads need the entire cache, portions of a shared LLC can be disabled to save energy. In this paper, we explore different design choices, from circuit-level cache organization to micro-architectural management policies, to propose a low-overhead run-time mechanism for energy reduction in the shared LLC. Results show that our design (EECache) provides 14.1% energy saving at only 1.2% performance degradation on average, with negligible hardware overhead.
Hsiang-Yun Cheng, Matthew Poremba, Narges Shahidi, Ivan Stalev, Mary Jane Irwin, Mahmut T. Kandemir, Jack Sampson, Yuan Xie 0001
ISLPED4