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Nand Kumar

dblp:08/6171 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Electronic design automation › hardware verification and test › design validation
functional validation
0.011993
Experiences in Functional Validation of a High Level Synthesis System · DAC 1993
Electronic design automation
high-level synthesis
0.011993
Experiences in Functional Validation of a High Level Synthesis System · DAC 1993
Electronic design automation
hardware verification and test
0.011993
Experiences in Functional Validation of a High Level Synthesis System · DAC 1993
Electronic design automation › hardware verification and test › functional verification
testbench generation
0.011993
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
YearPublicationVenuePosition
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 technique
abstract
We 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
ICCD2
1993 Experiences in Functional Validation of a High Level Synthesis System
abstract
The 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
DAC4