Wednesday, 31 May 2017
doAzureParallel's second major release comes with full support for low-priority VMs, letting R users run their R jobs on Azure’s surplus compute capacity at up to an 80% discount. In addition to this capability, we are introducing new features to the package to let users take advantage of Azure Batch’s flexible infrastructure for parameter tuning, data-prep/ETL, and simulation.
Tuesday, 28 March 2017
TIBCO DataSynapse released the High Performance Cloud Computing (HPCC) Adapter to extend the functionality of GridServer 6.2.0 and enable customers to temporarily increase their compute capacity in Azure.
Monday, 27 February 2017
We are happy to announce the release of the newest version of Microsoft MPI (MS-MPI). MS-MPI v8 is the successor to the Microsoft MPI v7.1 redistributable package (released in June 2016).
Anh Vo
Senior SDE, Microsoft Azure
Monday, 14 November 2016
This week Microsoft and IBM have tied up an agreement that will provide an enhanced level of testing and support for both hybrid and pure IaaS deployments of Platform Symphony and Platform LSF.
Tuesday, 11 October 2016
We are pleased to announce the launch of TIBCO DataSynapse GridServer Engine – cloud edition in the Azure Marketplace. Available from today.
Monday, 26 September 2016
Availability of H-series VMs in Microsoft Azure
Thursday, 22 September 2016
The Azure Big Compute team is happy to announce version 1.0.0 of the Batch Shipyard toolkit, which enables easy deployment of batch-style Dockerized workloads to Azure Batch compute pools. Azure…
Monday, 25 July 2016
Today we are delighted to announce the addition of ANSYS computational fluid dynamics (CFD) solvers to this ecosystem.
Thursday, 7 July 2016
We are happy to announce the release of the newest version of Microsoft MPI (MS-MPI). MS-MPI v7.1 is the successor to the Microsoft MPI v7 redistributable package (released in November 2015).
Thursday, 19 May 2016
A few months back we shared with you an Azure architecture blueprint for Large-Scale Computing of Financial Services workloads. We have now published a condensed version of that scenario, in the form of an example solution that includes a step-by-step walkthrough, as well as its corresponding architecture diagram.
Felipe Ayora
Senior Program Manager, Azure HPC & Big Compute