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Liji Gopalakrishnan

dblp:127/9040 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—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
Energy-efficient computing · 56% Memory systems · 36% Hardware reliability and fault tolerance · 8%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems
DRAM
0.112012
Rethinking DRAM Power Modes for Energy Proportionality · MICRO 2012
Energy-efficient computing
energy proportionality
0.112012
Rethinking DRAM Power Modes for Energy Proportionality · MICRO 2012
Energy-efficient computing
power management
0.112012
Rethinking DRAM Power Modes for Energy Proportionality · MICRO 2012
Memory systems
memory controller
0.012012
Rethinking DRAM Power Modes for Energy Proportionality · MICRO 2012
Hardware reliability and fault tolerance › processor reliability
timing error recovery
0.012012
Rethinking DRAM Power Modes for Energy Proportionality · MICRO 2012

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

simulation · 0.1
YearPublicationVenuePosition
2012 Rethinking DRAM Power Modes for Energy Proportionality
abstract
We re-think DRAM power modes by modeling and characterizing inter-arrival times for memory requests to determine the properties an ideal power mode should have. This analysis indicates that even the most responsive of today's power modes are rarely used. Up to 88% of memory is spent idling in an active mode. This analysis indicates that power modes must have much shorter exit latencies than they have today. Wake-up latencies less than 100ns are ideal. To address these challenges, we present MemBlaze, an architecture with DRAMs and links that are capable of fast power up, which provides more opportunities to power down memories. By eliminating DRAM chip timing circuitry, a key contributor to power up latency, and by shifting timing responsibility to the controller, MemBlaze permits data transfers immediately after wake-up and reduces energy per transfer by 50% with no performance impact. Alternatively, in scenarios where DRAM timing circuitry must remain, we explore mechanisms to accommodate DRAMs that power up with less than perfect interface timing. We present MemCorrect which detects timing errors while MemDrowsy lowers transfer rates and widens sampling margins to accommodate timing uncertainty in situations where the interface circuitry must recalibrate after exit from power down state. Combined, MemCorrect and MemDrowsy still reduce energy per transfer by 50% but incur modest (e.g., 10%) performance penalties.
Krishna T. Malladi, Ian Shaeffer, Liji Gopalakrishnan, David Lo 0001, Benjamin C. Lee, Mark Horowitz
MICRO3