Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sanjeev Sripadraj Murthy
dblp:221/2831
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—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 |
Emerging computing paradigms · 70% Reconfigurable computing and FPGAs · 30% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Emerging computing paradigms › approximate computing › approximate circuit design
approximate arithmetic circuits |
0.3 | 1 | 2018 | SMApproxlib: library of FPGA-based approximate multipliers · DAC 2018 |
Emerging computing paradigms
approximate computing |
0.3 | 1 | 2018 | SMApproxlib: library of FPGA-based approximate multipliers · DAC 2018 |
Emerging computing paradigms › approximate computing
approximate multiplier |
0.3 | 1 | 2018 | SMApproxlib: library of FPGA-based approximate multipliers · DAC 2018 |
Reconfigurable computing and FPGAs
FPGA arithmetic |
0.3 | 1 | 2018 | SMApproxlib: library of FPGA-based approximate multipliers · DAC 2018 |
Reconfigurable computing and FPGAs
FPGA accelerator |
0.1 | 1 | 2018 | SMApproxlib: library of FPGA-based approximate multipliers · DAC 2018 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | SMApproxlib: library of FPGA-based approximate multipliersabstractThe main focus of the existing approximate arithmetic circuits has been on ASIC-based designs. However, due to the architectural differences between ASICs and FPGAs, comparable performance gains cannot be achieved for FPGA-based systems by using the approximations defined, particularly for ASIC-based systems. This paper exploits the structure of the 6-input lookup tables and associated carry chains of modern FPGAs to define a methodology for designing approximate multipliers optimized for FPGA-based systems. Using our presented methodology, we present SMApproxLib, an open source library of approximate multipliers with different bit-widths, output accuracies and performance gains. Being the first open source library of FPGA-based approximate multipliers, SMAp-proxLib can serve as a benchmark for designing and comparing future FPGA-based approximate arithmetic circuits. Salim Ullah, Sanjeev Sripadraj Murthy, Akash Kumar 0001 |
DAC | 2 |