S. Srivastava

发表

Topics in Parallel and Distributed Computing : Introducing Algorithms , Programming , and Performance within Undergraduate Curricula ∗ † ‡ Chapter 11 – Scheduling in Parallel and Distributed Computing Systems

I. Banicescu, S. Srivastava, 2019 .

Heuristics for Robust Allocation of Resources to Parallel Applications with Uncertain Execution Times in Heterogeneous Systems with Uncertain Availability

A. A. Maciejewski, H. J. Siegel, F. Ciorba, 2014 .

Quantitative real-time expression profiling of aquaporins-isoforms and growth response of Brassica juncea under arsenite stress

S. F. D’souza, A. Srivastava, P. Suprasanna, 2013, Molecular Biology Reports.

Making sense of teamwork in mobile hybrid teams: a lexical analysis

Cristina M. Gilstrap, Curt A. Gilstrap, S. Srivastava, 2022, Team Performance Management: An International Journal.

Performance Modeling of Scalable Resource Allocations with the Imperial PEPA Compiler

I. Banicescu, W. Sanders, S. Srivastava, 2022, 2022 21st International Symposium on Parallel and Distributed Computing (ISPDC).

Growth response and antioxidant enzyme activity of Cassia occidentalis exposed to soil moisture stress

Malvika Srivastava, S. Srivastava, 2015 .

Quantitative real-time expression profiling of aquaporins-isoforms and growth response of Brassica juncea under arsenite stress

S. F. D’souza, A. Srivastava, P. Suprasanna, 2013, Molecular Biology Reports.

Insights into the regulatory role and clinical relevance of mediator subunit, MED12, in human diseases

R. Kulshreshtha, S. Srivastava, Ritu Kulshreshtha, 2020, Journal of cellular physiology.

Applications of red pigments from psychrophilic Rhodonellum psychrophilum GL8 in health, food and antimicrobial finishes on textiles

David J. Baumler, R. Kulshreshtha, K. Dev, 2020 .

A Learning-based Selection for Portfolio Scheduling of Scientific Applications on Heterogeneous Computing Systems

Brandon M. Malone, Ioana Banicescu, Srishti Srivastava, 2014, CloudCom 2014.

Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning

Brandon M. Malone, Ioana Banicescu, Srishti Srivastava, 2014, 2014 IEEE International Parallel & Distributed Processing Symposium Workshops.

MED12 is overexpressed in glioblastoma patients and serves as an oncogene by targeting the VDR/BCL6/p53 axis

C. Sarkar, R. Kulshreshtha, V. Suri, 2022, Cellular and Molecular Life Sciences.

Robust resource allocations through performance modeling with stochastic process algebra

Ioana Banicescu, Srishti Srivastava, I. Banicescu, 2017, Concurr. Comput. Pract. Exp..

HIF1α and p53 Regulated MED30, a Mediator Complex Subunit, is Involved in Regulation of Glioblastoma Pathogenesis and Temozolomide Resistance

R. Kulshreshtha, S. Srivastava, Anubha Shukla, 2020, Cellular and Molecular Neurobiology.

Towards the Scalability of Dynamic Loop Scheduling Techniques via Discrete Event Simulation

Ioana Banicescu, Srishti Srivastava, Nitin Sukhija, 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.