Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Mukhopadhyay, Arpan"'
The explosion in Machine Learning (ML) over the past ten years has led to a dramatic increase in demand for GPUs to train ML models. Because it is prohibitively expensive for most users to build and maintain a large GPU cluster, large cloud providers
Externí odkaz:
http://arxiv.org/abs/2406.15560
A large proportion of jobs submitted to modern computing clusters and data centers are parallelizable and capable of running on a flexible number of computing cores or servers. Although allocating more servers to such a job results in a higher speed-
Externí odkaz:
http://arxiv.org/abs/2406.09427
The Join-the-Shortest-Queue (JSQ) load balancing scheme is known to minimise the average response time of jobs in homogeneous systems with identical servers. However, for {\em heterogeneous} systems with servers having different processing speeds, fi
Externí odkaz:
http://arxiv.org/abs/2312.10497
In this paper, we study systems where each job or request can be split into a flexible number of sub-jobs up to a maximum limit. The number of sub-jobs a job is split into depends on the number of available servers found upon its arrival. All sub-job
Externí odkaz:
http://arxiv.org/abs/2309.00060
In this paper, we analyze the effects of erroneous load comparisons on the performance of the Po2 scheme. Specifically, we consider load-dependent and load-independent errors. In the load-dependent error model, an incoming job is sent to the server w
Externí odkaz:
http://arxiv.org/abs/2303.00869
Autor:
Deb, Oindrila, Mukhopadhyay, Arpan
Consensus protocols play an important role in the study of distributed algorithms. In this paper, we study the effect of bias on two popular consensus protocols, namely, the {\em voter rule} and the {\em 2-choices rule} with binary opinions. We assum
Externí odkaz:
http://arxiv.org/abs/2302.08344
Autor:
Mukhopadhyay, Arpan
Publikováno v:
Prob. Eng. Inf. Sci. 38 (2024) 227-244
We consider a model of binary opinion dynamics where one opinion is inherently 'superior' than the other and social agents exhibit a 'bias' towards the superior alternative. Specifically, it is assumed that an agent updates its choice to the superior
Externí odkaz:
http://arxiv.org/abs/2208.12245
Autor:
Ganesh, Ayalvadi, Mukhopadhyay, Arpan
Processing computation-intensive jobs at multiple processing cores in parallel is essential in many real-world applications. In this paper, we consider an idealised model for job parallelism in which a job can be served simultaneously by $d$ distinct
Externí odkaz:
http://arxiv.org/abs/2203.08614
Autor:
Bhambay, Sanidhay, Mukhopadhyay, Arpan
The Join-the-Shortest-Queue (JSQ) load-balancing scheme is known to minimise the average delay of jobs in homogeneous systems consisting of identical servers. However, it performs poorly in heterogeneous systems where servers have different processin
Externí odkaz:
http://arxiv.org/abs/2203.01721
Publikováno v:
In Performance Evaluation May 2024 164
