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Ajay J. Daga

dblp:04/3870 · DBLP profile ↗
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6ranked-venue papers
6as first author
0since 2021 · last 2002
—ORCID · none

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

Systems, architecture and hardware · 6 · 6 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
5 papers
Electronic design automation · 96% Distributed systems · 2% Integrated circuit design · 2%
Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 100%

Topics — the 15 heaviest of 15, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation
design flow
0.012002
Automated timing model generation · DAC 2002
Electronic design automation › design methodology
hierarchical design
0.012002
Automated timing model generation · DAC 2002
Electronic design automation › system-level design
IP reuse
0.012002
Automated timing model generation · DAC 2002
Electronic design automation
timing analysis
0.012002
Automated timing model generation · DAC 2002
Electronic design automation
timing model generation
0.012002
Automated timing model generation · DAC 2002
Electronic design automation › hardware verification and test
timing verification
0.021997
Interface finite-state machines: definition, minimization, and decomposition · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1997
Interface Timing Verification Drives System Design · DAC 1997
Electronic design automation › hardware verification and test › formal verification
finite state machine verification
0.011997
Interface finite-state machines: definition, minimization, and decomposition · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1997
Electronic design automation › physical design
floorplanning
0.011997
Interface Timing Verification Drives System Design · DAC 1997
Electronic design automation
hardware verification and test
0.011997
Interface finite-state machines: definition, minimization, and decomposition · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1997
Electronic design automation
physical design
0.011997
Interface Timing Verification Drives System Design · DAC 1997
Electronic design automation › physical design › floorplanning
timing-driven floorplanning
0.011997
Interface Timing Verification Drives System Design · DAC 1997
Electronic design automation
logic synthesis
0.011994
The Minimization and Decomposition of Interface State Machines · DAC 1994
Distributed systems › fault tolerance
failure recovery
0.011990
Failure Recovery in the MICON System · DAC 1990
Integrated circuit design
system-on-chip
0.011997
Interface Timing Verification Drives System Design · DAC 1997
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models
dependency networks
0.011990
Failure Recovery in the MICON System · DAC 1990

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

static timing analysis · 0.0timing-driven floorplanning · 0.0finite-state machine minimization · 0.0decomposition · 0.0knowledge-based system · 0.0dependency network · 0.0state machine minimization · 0.0state machine decomposition · 0.0
YearPublicationVenuePosition
2002 Automated timing model generation
abstract
The automated generation of timing models from gate-level netlists facilitates IP reuse and dramatically improves chip-level STA runtime in a hierarchical design flow. In this paper we discuss two different approaches to model generation, the design flows they lend themselves to and results from the application of these model generation solutions to large customer designs.
Ajay J. Daga, Loa Mize, Subramanyam Sripada, Chris Wolff, Qiuyang Wu
DAC1
1997 Interface Timing Verification Drives System Design
abstract
System design, i.e. the design of board-level circuits andsystems-on-a-chip, focuses on the integration of off-the-shelf andapplication-specific VLSI components. A key aspect of systemdesign is to ensure the satisfaction of component interface timingrequirements. This is necessary for the correct exchange ofinformation among components on a system. We present amethodology for the interface timing verification and subsequenttiming-driven floorplanning of systems. We present results on theapplication of this methodology to real-world circuits.
Ajay J. Daga, Peter Suaris
DAC1
1997 Interface finite-state machines: definition, minimization, and decomposition
abstract
There is a well-recognized need for accurate timing verification tools that account for the functional behavior of component interfaces, and thereby do not traverse false combinational and sequential paths. Such tools, however, are susceptible to an exponential increase in task complexity as the circuit size and functional complexity of components increase. The viability of accurate timing verifiers hinges on their ability to efficiently analyze the smallest subset of circuit behaviors, while verifying the timing characteristics of the overall space of behaviors. This paper presents theoretical results that address this issue for the timing verification of interacting FSMs.
Ajay J. Daga, William P. Birmingham
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1
1995 A symbolic-simulation approach to the timing verification of interacting FSMs
abstract
A timing verifier that scales to verify complex sequential circuits, modeled in terms of interacting FSMs, while rejecting false sequential and combinational paths has, so far, not been developed. We present an algorithm for this purpose. The inherently modular nature of interactions among FSMs, allow a highly efficient symbolic simulation verification methodology. Experimental results illustrate this methodology's ability to scale, while providing accurate timing verification results.
Ajay J. Daga, William P. Birmingham
ICCD1
1994 The Minimization and Decomposition of Interface State Machines
abstract
Article The minimization and decomposition of interface state machines Share on Authors: Ajay J. Daga ECES Department, The University of Michigan, Ann Arbor, MI ECES Department, The University of Michigan, Ann Arbor, MIView Profile , William P. Birmingham ECES Department, The University of Michigan, Ann Arbor, MI ECES Department, The University of Michigan, Ann Arbor, MIView Profile Authors Info & Claims DAC '94: Proceedings of the 31st annual Design Automation ConferenceJune 1994 Pages 120–125https://doi.org/10.1145/196244.196301Online:06 June 1994Publication History 3citation116DownloadsMetricsTotal Citations3Total Downloads116Last 12 Months2Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Ajay J. Daga, William P. Birmingham
DAC1
1990 Failure Recovery in the MICON System
abstract
MICON is a knowledge-based system that designs small computer systems. The synthesis of a digital system may be viewed as successive design and redesign of individual subsystems. Redesign is necessary when the design of one subsystem imposes conflicting requirements on the design of another, and when a design cannot meet specifications. This paper discusses the technique used to make MICON capable of redesign. The paper discusses a dependency network used to facilitate failure correction and highlights the novel features of this scheme. An example is given.
Ajay J. Daga, William P. Birmingham
DAC1