most citedEvaluation of Docker Containers for Scientific Workloads in the Cloud

63 citations · 106 across the 7 of their papers we have counts for

collaborators

8 papers

cs.AR2026

MANOJAVAM: A Scalable, Unified FPGA Accelerator for Matrix Multiplication and Singular Value Decomposition in Principal Component Analysis

Srivaths Ramasubramanian, Anjali Devarajan, Kousthub P Kaivar +5

Principal Component Analysis (PCA) is widely used for dimensionality reduction in hyperspectral imaging, genomics, and neurosciences. However, it suffers from computational bottlen…

physics.comp-ph2019★ 2 cited

Towards Run Time Estimation of the Gaussian Chemistry Code for SEAGrid Science Gateway

Angel Beltre, Shehtab Zaman, Kenneth Chiu +3

Accurate estimation of the run time of computational codes has a number of significant advantages for scientific computing. It is required information for optimal resource allocati…

cs.PF2019

MultiCloud Resource Management using Apache Mesos for Planned Integration with Apache Airavata

Pankaj Saha, Madhusudhan Govindaraju, Suresh Marru +1

We discuss initial results and our planned approach for incorporating Apache Mesos based resource management that will enable design and development of scheduling strategies for Ap…

cs.DC2019★ 5 cited

Two stage cluster for resource optimization with Apache Mesos

Gourav Rattihalli, Pankaj Saha, Madhusudhan Govindaraju +1

As resource estimation for jobs is difficult, users often overestimate their requirements. Both commercial clouds and academic campus clusters suffer from low resource utilization…

cs.PF2019★ 63 cited

Evaluation of Docker Containers for Scientific Workloads in the Cloud

Pankaj Saha, Angel Beltre, Piotr Uminski +1

The HPC community is actively researching and evaluating tools to support execution of scientific applications in cloud-based environments. Among the various technologies, containe…

cs.PF2019★ 20 cited

Exploring the Fairness and Resource Distribution in an Apache Mesos Environment

Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju

Apache Mesos, a cluster-wide resource manager, is widely deployed in massive scale at several Clouds and Data Centers. Mesos aims to provide high cluster utilization via fine grain…

cs.PF2019★ 6 cited

Tromino: Demand and DRF Aware Multi-Tenant Queue Manager for Apache Mesos Cluster

Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju

Apache Mesos, a two-level resource scheduler, provides resource sharing across multiple users in a multi-tenant cluster environment. Computational resources (i.e., CPU, memory, dis…

cs.PF2019★ 10 cited

Scylla: A Mesos Framework for Container Based MPI Jobs

Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju

Open source cloud technologies provide a wide range of support for creating customized compute node clusters to schedule tasks and managing resources. In cloud infrastructures such…