Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Arjun Kapur

dblp:51/5796 · DBLP profile ↗
← Back
5ranked-venue papers
0as first author
0since 2021 · last 2003
0009-0005-3085-3586ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 3Theory of computation · 3

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.

Theoretical computer science
1 paper
Automated reasoning and model checking · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automated reasoning and model checking › program verification
deductive verification
0.011996
STeP: Deductive-Algorithmic Verification of Reactive and Real-Time Systems · CAV 1996
Automated reasoning and model checking
model checking
0.011996
STeP: Deductive-Algorithmic Verification of Reactive and Real-Time Systems · CAV 1996
Automated reasoning and model checking
reactive system verification
0.011996
STeP: Deductive-Algorithmic Verification of Reactive and Real-Time Systems · CAV 1996
Automated reasoning and model checking
real-time verification
0.011996
STeP: Deductive-Algorithmic Verification of Reactive and Real-Time Systems · CAV 1996

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

deductive-algorithmic verification · 0.0
YearPublicationVenuePosition
2003 Inferno: a functional simulation infrastructure for modeling microarchitectural data speculations
abstract
This paper presents key insights and design rationales behind Inferno, a functional simulation construction framework developed at Intel to support execution-driven cycle-accurate performance modeling and simulation of advanced microarchitectural data speculation techniques for future processor designs and explorations. Inferno divides the task of functional simulation into three essential components, namely: (1) context manager of in-flight speculatively executed instructions, (2) stateless emulator of instruction semantics, and (3) a high speed functional simulator capable of booting OS and running large-scale system workloads. These building block components work together in concert via a set of well-architected functional model convergence APIs. With a novel abstraction called speculative domain, the context manager serves effectively as a relational database about the in-flight instructions and on-going speculations. Through a set of functional model usage APIs, the context manager enables performance models to express arbitrary microarchitectural data speculation scenarios. The contribution of this paper is to demonstrate the importance of providing a functional model with modular construction, proper abstraction and expressive APIs for speculative state management. Inferno is such a functional model construction framework and has significantly improved productivity in modeling a variety of sophisticated data speculation microarchitecture techniques.
Hong Wang 0003, Shiri Manor, Dave LaFollette, Nadav Nesher, Ku-jei King, Perry H. Wang, Shay Levy, Shai Satt, Gal Carmeli, Arjun Kapur, Ioannis Schoinas, Ed Rubinstein, Rahul Bhatt
ISPASS10
2003 The Fallacy of Spec-Based Design
abstract
The architectural reference model, a critical tool in microprocessor validation, serves as a gold standard against which a microprocessor is compared. As all validation is performed using it, the reference model must be timely, extensible beyond the original specification, customizable for specific usage models, and, most importantly, functionally flawless. Ideally, we would like a specification-based design flow that transforms the published English language specifications into compilable code that is directly incorporated into the reference model without loss of information or accuracy. At Intel, we have developed and implemented such a flow to create the Itanium Processor Family's (IPF) reference model, which is used to validate all IPF processors. In this paper, we describe the benefits and limitations of this process and discuss the practical implications of specification-based design.
Rahul Bhatt, Dave LaFollette, Arjun Kapur
SEFM3
2003 Hybrid diagrams
Luca de Alfaro, Arjun Kapur
Theor. Comput. Sci.2
1997 Hybrid Diagrams: A Deductive-Algorithmic Approach to Hybrid System Verification
Luca de Alfaro, Arjun Kapur, Zohar Manna
STACS2
1996 STeP: Deductive-Algorithmic Verification of Reactive and Real-Time Systems
Nikolaj S. Bjørner, Anca Browne, Edward Y. Chang, Michael Colón, Arjun Kapur, Zohar Manna, Henny B. Sipma, Tomás E. Uribe
CAV5