Demo Data from EDBT 2026 / reviewers in the wild / expert
Nand Kumar
dblp:08/6171
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-5684-6078ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2Artificial intelligence and machine learning · 1 · 1 since 2021
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 |
Electronic design automation · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › hardware verification and test › design validation
functional validation |
0.0 | 1 | 1993 | Experiences in Functional Validation of a High Level Synthesis System · DAC 1993 |
Electronic design automation
high-level synthesis |
0.0 | 1 | 1993 | Experiences in Functional Validation of a High Level Synthesis System · DAC 1993 |
Electronic design automation
hardware verification and test |
0.0 | 1 | 1993 | Experiences in Functional Validation of a High Level Synthesis System · DAC 1993 |
Electronic design automation › hardware verification and test › functional verification
testbench generation |
0.0 | 1 | 1993 | Experiences in Functional Validation of a High Level Synthesis System · DAC 1993 |
Methods — techniques the papers use, named apart from their topics
specification language analysis · 0.0automated test result comparison · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices
Mohit Beniwal, Nand Kumar |
Eng. Appl. Artif. Intell. | 3 |
| 1995 | High level profiling based low power synthesis techniqueabstractWe present a profiling based technique for power estimation. This technique is implemented in the PDSS (Profile Driven Synthesis System) for the synthesis of low power designs. Initially, each module in the module library is characterized for the average switching capacitance per input vector. The input description is simulated using user-specified set of input vectors to collect the profile data for various operators and carriers. The profile data, in conjunction with the pre-characterized module library is used to estimate the total capacitance switched by each of the valid schedules produced by the PDSS scheduler. A valid schedule is one which satisfies other constants such as area and delay. The schedule with the least switching capacitance estimate is further synthesized to the layout level. Results show an average deviation of 12% compared with the actual switching capacitance values at the layout level. Srinivas Katkoori, Nand Kumar, Ranga Vemuri |
ICCD | 2 |
| 1993 | Experiences in Functional Validation of a High Level Synthesis SystemabstractThe goal OJ functional validation of a high-level synthesis system is to a$sert, with a reasonable degree of confidence, that the layouta generated by the high-level synthesis system correctly implement the ~pecified behavior.This paper presents a systematic approach to functional validation baaed on the analysis of specification language constructs, de8ign example formation to cover combinations of constructs, ted-bench generation and automated te8t re8u!t comparison.we have 8ucce88.fu![y applied thi8 approach in validating a high-level 8ynthe8i8 8 stem, called 33 DSS, which accepta specifications stated in VI-I L. This effort Te8u[ted in the development of a functional validation suite corssiding of 29 design ezample.s. 1 Ranga Vemuri, Paddy Mamtora, Praveen Sinha, Nand Kumar, Jayanta Roy, Raghu Vutukuru |
DAC | 4 |