Mikhail A. Rakov

dblp:93/5918 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

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

Systems, architecture and hardware · 2

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
2 papers
Interconnection networks and networks-on-chip · 39% Electronic design automation · 15% High-performance computing · 15%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip
network topology
0.122005
Performance, Algorithmic, and Robustness Attributes of Perfect Difference Networks · IEEE Trans. Parallel Distributed Syst. 2005
Perfect Difference Networks and Related Interconnection Structures for Parallel and Distributed Systems · IEEE Trans. Parallel Distributed Syst. 2005
High-performance computing
collective communication
0.112005
Performance, Algorithmic, and Robustness Attributes of Perfect Difference Networks · IEEE Trans. Parallel Distributed Syst. 2005
Hardware reliability and fault tolerance › network fault tolerance
fault diameter
0.112005
Performance, Algorithmic, and Robustness Attributes of Perfect Difference Networks · IEEE Trans. Parallel Distributed Syst. 2005
Distributed systems
fault tolerance
0.112005
Performance, Algorithmic, and Robustness Attributes of Perfect Difference Networks · IEEE Trans. Parallel Distributed Syst. 2005
Electronic design automation › physical design
routing
0.112005
Performance, Algorithmic, and Robustness Attributes of Perfect Difference Networks · IEEE Trans. Parallel Distributed Syst. 2005
Interconnection networks and networks-on-chip › network topology
bisection width
0.012005
Perfect Difference Networks and Related Interconnection Structures for Parallel and Distributed Systems · IEEE Trans. Parallel Distributed Syst. 2005

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

perfect difference sets · 0.1
YearPublicationVenuePosition
2005 Perfect Difference Networks and Related Interconnection Structures for Parallel and Distributed Systems
abstract
In view of their applicability to parallel and distributed computer systems, interconnection networks have been studied intensively by mathematicians, computer scientists, and computer designers. In this paper, we propose an asymptotically optimal method for connecting a set of nodes into a perfect difference network (PDN) with diameter 2, so that any node is reachable from any other node in one or two hops. The PDN interconnection scheme, which is based on the mathematical notion of perfect difference sets, is optimal in the sense that it can accommodate an asymptotically maximal number of nodes with smallest possible node degree under the constraint of the network diameter being 2. We present the network architecture in its basic and bipartite forms and show how the related multidimensional PDNs can be derived. We derive the exact average internode distance and tight upper and lower bounds for the bisection width of a PDN. We conclude that PDNs and their derivatives constitute worthy additions to the repertoire of network designers and may offer additional design points that can be exploited by current and emerging technologies, including wireless and optical interconnects. Performance, algorithmic, and robustness attributes of PDNs are analyzed in a companion paper.
Behrooz Parhami, Mikhail A. Rakov
IEEE Trans. Parallel Distributed Syst.2
2005 Performance, Algorithmic, and Robustness Attributes of Perfect Difference Networks
abstract
Perfect difference networks (PDNs) that are based on the mathematical notion of perfect difference sets have been shown to comprise an asymptotically optimal method for connecting a number of nodes into a network with diameter 2. Justifications for, and mathematical underpinning of, PDNs appear in a companion paper. In this paper, we compare PDNs and some of their derivatives to interconnection networks with similar cost/performance, including certain generalized hypercubes and their hierarchical variants. Additionally, we discuss point-to-point and collective communication algorithms and derive a general emulation result that relates the performance of PDNs to that of complete networks as ideal benchmarks. We show that PDNs are quite robust, both with regard to node and link failures that can be tolerated and in terms of blandness (not having weak spots). In particular, we prove that the fault diameter of PDNs is no greater than 4. Finally, we study the complexity and scalability aspects of these networks, concluding that PDNs and their derivatives allow the construction of very low diameter networks close to any arbitrary desired size and that, in many respects, PDNs offer optimal performance and fault tolerance relative to their complexity or implementation cost.
Behrooz Parhami, Mikhail A. Rakov
IEEE Trans. Parallel Distributed Syst.2