Demo Data from VLDB 2026 / reviewers in the wild / expert
Younes M. Boura
dblp:50/1459
· DBLP profile ↗
5ranked-venue papers
5as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 5 · 5 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
2 papers |
Interconnection networks and networks-on-chip · 47% Performance modeling and evaluation · 43% Electronic design automation · 10% |
Topics — the 11 heaviest of 11, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation
network performance analysis |
0.0 | 1 | 1997 | Performance Analysis of Buffering Schemes on Wormhole Routers · IEEE Trans. Computers 1997 |
Performance modeling and evaluation
simulation |
0.0 | 1 | 1997 | Performance Analysis of Buffering Schemes on Wormhole Routers · IEEE Trans. Computers 1997 |
Interconnection networks and networks-on-chip › routing algorithms
wormhole routing |
0.0 | 1 | 1997 | Performance Analysis of Buffering Schemes on Wormhole Routers · IEEE Trans. Computers 1997 |
Performance modeling and evaluation
analytical modeling |
0.0 | 1 | 1995 | Modeling Virtual Channel Flow Control in Hypercubes · HPCA 1995 |
Interconnection networks and networks-on-chip
flow control |
0.0 | 1 | 1995 | Modeling Virtual Channel Flow Control in Hypercubes · HPCA 1995 |
Interconnection networks and networks-on-chip › network topology › hypercubic networks
hypercube |
0.0 | 1 | 1995 | Modeling Virtual Channel Flow Control in Hypercubes · HPCA 1995 |
Electronic design automation › physical design
routing |
0.0 | 1 | 1995 | Modeling Virtual Channel Flow Control in Hypercubes · HPCA 1995 |
Interconnection networks and networks-on-chip › flow control
virtual channel flow control |
0.0 | 1 | 1995 | Modeling Virtual Channel Flow Control in Hypercubes · HPCA 1995 |
Interconnection networks and networks-on-chip › switching network
multistage interconnection network |
0.0 | 1 | 1997 | Performance Analysis of Buffering Schemes on Wormhole Routers · IEEE Trans. Computers 1997 |
Performance modeling and evaluation › queueing models › multiserver queue
m/m/m queue |
0.0 | 1 | 1995 | Modeling Virtual Channel Flow Control in Hypercubes · HPCA 1995 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1995 | Modeling Virtual Channel Flow Control in Hypercubes · HPCA 1995 |
Methods — techniques the papers use, named apart from their topics
trace-driven simulation · 0.0analytical modeling · 0.0queueing theory · 0.0probabilistic analysis · 0.0markov model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Performance Analysis of Buffering Schemes on Wormhole RoutersabstractWormhole switched input-buffered and middle-buffered routers with virtual channels are analyzed in this paper. Middle buffering refers to the placement of virtual channels between the demultiplexers and multiplexers of a crossbar switch. An analytical model for multistage interconnection networks using middle-buffered switches is developed. In addition, extensive simulation is conducted to assess the performance of the two buffering techniques in different network topologies. The study demonstrates that middle buffering with virtual channels provides better performance than input buffering with virtual channels in multistage interconnection networks, two-dimensional meshes, and hypercubes. Younes M. Boura, Chita R. Das |
IEEE Trans. Computers | 1 |
| 1995 | Modeling Virtual Channel Flow Control in HypercubesabstractAn analytical model for virtual channel flow control in n-dimensional hypercubes using the e-cube routing algorithm is developed. The model is based on determining the values of the different components that make up the average message latency. These components include the message transfer time, the blocking delay at each dimension, the multiplexing delay at each dimension, and the waiting delay at the source node. The first two components are determined using a probabilistic analysis. The average degree of multiplexing is determined using a Markov model, and the waiting delay at the source node is determined using an M/M/m queueing system. The model is fairly accurate in predicting the average message latency for different message sizes and a varying number of virtual channels per physical channel. It is demonstrated that wormhole switching along with virtual channel flow control make the average message latency insensitive to the network size when the network is relatively lightly loaded (message arrival rate is equal to 40% of channel capacity), and that the average message latency increases linearly with the average message size. The simplicity and accuracy of the analytical model make it an attractive and effective tool for predicting the behavior of n-dimensional hypercubes.> Younes M. Boura, Chita R. Das |
HPCA | 1 |
| 1995 | Fault-Tolerant Routing in Mesh Networks
Younes M. Boura, Chita R. Das |
ICPP (1) | 1 |
| 1994 | Efficient Fully Adaptive Wormhole Routing in n-Dimensional MeshesabstractAn efficient fully adaptive wormhole routing algorithm for n-dimensional meshes is developed. The routing algorithm provides full adaptivity at a cost of one additional virtual channel per physical channel irrespective of the number of dimensions of the network. The algorithm is based on dividing the network graph into two acyclic graphs that contain all of the physical channels in the system. Virtual channels are classified as either waiting or nonwaiting channels. Busy channels that a message waits for to become available are classified as waiting channels, otherwise they are classified as nonwaiting channels. Thus, a message considers nonwaiting channels first to reach its destination. If all non-waiting channels are busy, the message considers waiting channels. Messages acquire waiting channels in two phases. In each phase, waiting channels belonging to one acyclic network graph are traversed. This 2-phase routing algorithm could be either minimal or nonminimal. However, we concentrate on minimal routing. It is demonstrated that this adaptive routing algorithm can utilize the virtual paths (channels) between any two nodes more efficiently than any of the present algorithms with the same hardware requirement.> Younes M. Boura, Chita R. Das |
ICDCS | 1 |
| 1993 | A Class of Partially Adaptive Routing Algorithms for n_dimensional MeshesabstractA simple model, called the direction restriction model, for developing partially adaptive routing algorithms for n_dimensional meshes is introduced in this paper. This model is based on dividing a system into two unidirectional networks that contain all physical channels of the system. Younes M. Boura, Chita R. Das |
ICPP (3) | 1 |