BALAJI VIJAYAN V
@hkbk.edu.in
Professor
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Networks and Communications, Computer Engineering, Multidisciplinary, Computer Science Applications
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Dr.A. Mohan*, , Mr. N. Komal Kumar, Mr. M. Sakthivel, Mr. K. Cornelius, Mr. V. Balaji Vijayan, , , , and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
With the fast developing of remote travel, it has turned into a fundamental of figuring out how to have the hands-on involvement in remote systems administration for the multiplied number of understudies (Engineering) in a building. Some of the current executions for remote systems administration are either utilizing reenactments, which lose the truth or excessively confused for college understudies, making it impossible to control tests. In this paper, we introduce a functional online research center stage, Electronic Wireless Lab (EWL).EWL mostly centers around giving understudies hand-on understanding of doing probes genuine device through website page whenever anyplace. It utilizes the structure of two-level tasks, which offices expanding the size of remote device and enables EWL to be reached out to more entangled activities. The timetable plans of EWL let more understudies offer and make proficient utilization of remote device. A model of EWL has been actualized and utilized effectively as supplements for a college class for a long time in a college. From these assessment there are 600 engineering students are participated.
Balaji Vijayn and Dmitry V. Ponomarev
IEEE
We introduce a hardware-only program phase detection and prediction architecture, which improves on the existing proposal by forming the execution footprints using simple bit-vectors called "branch signatures" to capture the set of branches touched during an execution interval. Previous work, in contrast, used the number of instructions executed between the branches to form the footprints. Such a modification significantly simplifies the phase detection logic and also affords numerous additional advantages, such as the detection of fewer distinct phases, less frequent phase transitions and higher phase prediction accuracies. We also show, through extensive simulations, that our simplified phase detection logic performs on par with the original proposal on several phase-based optimizations, such as the issue width adaptation and the exploitation of frequent value locality. At the same time, the proposed logic requires only a fraction of the storage needed by the previous scheme to keep the phase-related information..