Demo Data from EDBT 2026 / reviewers in the wild / expert
Ravi K. Venkatesan
dblp:26/523
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2007
0000-0003-1959-5246ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 3 first-author
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
3 papers |
Energy-efficient computing · 51% Memory systems · 46% Hardware reliability and fault tolerance · 3% |
Topics — the 9 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems
DRAM |
0.2 | 3 | 2007 | ZettaRAM: A Power-Scalable DRAM Alternative through Charge-Voltage Decoupling · IEEE Trans. Computers 2007 Retention-aware placement in DRAM (RAPID): software methods for quasi-non-volatile DRAM · HPCA 2006 Tapping ZettaRAMTM for Low-Power Memory Systems · HPCA 2005 |
Energy-efficient computing › memory energy efficiency
power-aware memory system |
0.1 | 2 | 2006 | Retention-aware placement in DRAM (RAPID): software methods for quasi-non-volatile DRAM · HPCA 2006 Tapping ZettaRAMTM for Low-Power Memory Systems · HPCA 2005 |
Energy-efficient computing › power management
memory power management |
0.1 | 1 | 2007 | ZettaRAM: A Power-Scalable DRAM Alternative through Charge-Voltage Decoupling · IEEE Trans. Computers 2007 |
Energy-efficient computing
voltage scaling |
0.1 | 1 | 2007 | ZettaRAM: A Power-Scalable DRAM Alternative through Charge-Voltage Decoupling · IEEE Trans. Computers 2007 |
Energy-efficient computing › memory energy efficiency
low-power memory |
0.1 | 1 | 2005 | Tapping ZettaRAMTM for Low-Power Memory Systems · HPCA 2005 |
Memory systems › cache design
write policy |
0.1 | 1 | 2005 | Tapping ZettaRAMTM for Low-Power Memory Systems · HPCA 2005 |
Memory systems
memory architecture |
0.0 | 1 | 2007 | ZettaRAM: A Power-Scalable DRAM Alternative through Charge-Voltage Decoupling · IEEE Trans. Computers 2007 |
Hardware reliability and fault tolerance › memory reliability
retention time |
0.0 | 1 | 2006 | Retention-aware placement in DRAM (RAPID): software methods for quasi-non-volatile DRAM · HPCA 2006 |
Memory systems
cache design |
0.0 | 1 | 2005 | Tapping ZettaRAMTM for Low-Power Memory Systems · HPCA 2005 |
Methods — techniques the papers use, named apart from their topics
molecule parameter analysis · 0.1architectural management · 0.1measurement study · 0.1architectural simulation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | ZettaRAM: A Power-Scalable DRAM Alternative through Charge-Voltage DecouplingabstractZettaRAMtrade is a nascent memory technology with roots in molecular electronics. It uses a conventional DRAM architecture except that the conventional capacitor is replaced with a new molecular capacitor. The molecular capacitor has a discrete threshold voltage, above which all molecules are charged and below which all molecules are discharged. Thus, while voltage still controls charging/discharging, the fixed charge deposited on the molecular capacitor is voltage-independent. Charge-voltage decoupling makes it possible to lower voltage from one memory generation to the next while still maintaining the minimum critical charge for reliable operation, whereas DRAM voltage scaling is constrained by charge. Voltage can be scaled inexpensively and reliably by engineering new, more favorable molecules. We analyze how three key molecule parameters influence voltage and then evaluate 23 molecules in the literature. Matching DRAM density and speed, the best molecule yields 61 percent energy savings. While the fixed charge is voltage-independent, speed is voltage-dependent. Thus, voltage is padded for competitive latency. We propose dynamically modulating the padding based on criticality of memory requests, further extending ZettaRAM's energy advantage with negligible system slowdown. Architectural management extends the best molecule's energy savings to 77 percent and extracts energy savings from six otherwise uncompetitive molecules Ravi K. Venkatesan, Ahmed S. Al-Zawawi, Krishnan Sivasubramanian, Eric Rotenberg |
IEEE Trans. Computers | 1 |
| 2006 | Retention-aware placement in DRAM (RAPID): software methods for quasi-non-volatile DRAMabstractMeasurements of an off-the-shelf DRAM chip confirm that different cells retain information for different amounts of time. This result extends to DRAM rows, or pages (retention time of a page is defined as the shortest retention time among its constituent cells). Currently, a single worst-case refresh period is selected based on the page with the shortest retention time. Even with refresh optimized for room temperature, the worst page limits the safe refresh period to no longer than 500 ms. Yet, 99% and 85% of pages have retention times above 3 seconds and 10 seconds, respectively. We propose retention-aware placement in DRAM (RAPID), novel software approaches that can exploit off-the-shelf DRAMs to reduce refresh power to vanishingly small levels approaching non-volatile memory. The key idea is to favor longer-retention pages over shorter-retention pages when allocating DRAM pages. This allows selecting a single refresh period that depends on the shortest-retention page among populated pages, instead of the shortest-retention page overall. We explore three versions of RAPID and observe refresh energy savings of 83%, 93%, and 95%, relative to the best temperature-compensated refresh. RAPID with off-the-shelf DRAM also approaches the energy levels of idealized techniques that require custom DRAM support. Ravi K. Venkatesan, Stephen Herr, Eric Rotenberg |
HPCA | 1 |
| 2005 | Tapping ZettaRAMTM for Low-Power Memory SystemsabstractZettaRAM/spl trade/ is a new memory technology under development by ZettaCore/spl trade/ as a potential replacement for conventional DRAM. The key innovation is replacing the conventional capacitor in each DRAM cell with "charge-storage" molecules - a molecular capacitor. We look beyond ZettaRAM's manufacturing benefits, and approach it from an architectural viewpoint to discover benefits within the domain of architectural metrics. The molecular capacitor is unusual because the amount of charge deposited (critical for reliable sensing) is independent of write voltage, i.e., there is a discrete threshold voltage above/below which the device is fully charged/discharged. Decoupling charge from voltage enables manipulation via arbitrarily small bitline swings, saving energy. However, while charge is voltage-independent, speed is voltage-dependent. Operating too close to the threshold causes molecules to overtake peripheral circuitry as the overall performance limiter. Nonetheless, ZettaRAM offers a speed/energy trade-off whereas DRAM is inflexible, introducing new dimensions for architectural management of memory. We apply architectural insights to tap the full extent of ZettaRAM's power savings without compromising performance. Several factors converge nicely to direct focus on L2 writebacks: (i) they account for 80% of row buffer misses in the main memory, thus most of the energy savings potential, and (ii) they do not directly stall the processor and thereby offer scheduling flexibility for tolerating extended molecule latency. Accordingly, slow writes (low energy) are applied to non-critical writebacks and fast writes (high energy) to critical fetches. The hybrid write policy is combined with two options for tolerating delayed writebacks: large buffers with access reordering or L2-cache eager writebacks. Eager writebacks are remarkably synergistic with ZettaRAM: initiating writebacks early in the L2 cache compensates for delaying them at the memory controller. Dual-speed writes coupled with eager writebacks yields energy savings of 34% (out of 41% with uniformly slow writes), with less than 1% performance degradation. Ravi K. Venkatesan, Ahmed S. Al-Zawawi, Eric Rotenberg |
HPCA | 1 |