Interactive big computing enables automated software tests in real time
A team that develops control software for power electronics uses Python, MATLAB and C in their R&D. The team’s Continuous Integration (CI) process uses a Jenkins environment, and testing that is automated using Robot Framework. When a developer...
Techila Distributed Computing Engine at SC18
Meet us at the SC18 Conference in Dallas, Texas on 12-15 November 2018. Techila Distributed Computing Engine is the interactive big compute solution. All high-performance computing (HPC) solutions promise speed. However, unlike many other solutions, TDCE also provides...
Computing in the cloud – How to save up to 80% in infrastructure costs?
Cloud computing offers an appealing option to the world of high-performance computing (HPC). However, in situations where substantial throughput is required, the amount of cloud instances will need to be increased. This can lead to increased cloud...
Distributed Julia with efficient scaling
How to run large Julia simulations interactively? Join us at JuliaCon and see the Techila package for Julia in action. JuliaCon is the conference for Julia users and developers in London, UK on 7th to 11th August,...
QuantMinds presentation on Implementation Capacity of Systematic Investment Strategies
NBIM's Maxim Kartamyshev and Techila's Tuomas Eerola will speak about the Implementation Capacity of Systematic Investment Strategies at QuantMinds. Maxim Kartamyshev is a quant at the Investment Risk department at NBIM, the Norges Bank Investment Management. His current...
Tutorial on Techila Toolbox for MATLAB
The Support Team of Techila Technologies has published a tutorial on the Techila Toolbox for MATLAB. This tutorial includes also an introduction to some of the features that come with the toolbox. The toolbox is available free...
MATLAB or R? Which works best in Value-at-Risk calculation?
Peter Verhoog of Verhoog Consultancy and Techila Technologies have published a paper that demonstrates, how to speed up the calculation of Value-at-Risk measures using scalable distributed computing. The MATLAB and R codes have also been made open and available for the financial community.
How to re-calibrate financial models in real time after a market shock?
Prof. Kanniainen’s paper demonstrates how financial models can be re-calibrated in real time after a market shock. He shows how to cut the time from more than 7 hours to just a couple of minutes. The MATLAB code open and available for the financial community.
How to speed up the generation of portfolios in R?
QuantBros.com has published a tutorial where Dakota Wixom from QuantBros shows how to generate random portfolios in R programming language on a large scale. Watch the full QuantBros.com tutorial on YouTube. In the tutorial, QuantBros uses S&P 500...
How to speed up Simulink using Cloud?
An accurate Simulink model performs as expected and produces the desired results. But the added complexity along with the constantly growing data requirements can cause unacceptable simulation times. How to improve simulation performance, without breaking the bank? Teppo...
Meet Techila at ISC High Performance
Meet the team and see the latest of Techila Technologies at ISC '16, 21 June 2016. Join us at ISC High Performance, the event for High-Performance Computing HPC, Network, and Storage in Frankfurt, Germany. Meet the Techila team,...
Easy supercluster speed to R using CSC’s Techila service
Are you a R user? Would you like to have faster simulation and analysis? This free CSC IT Center for Science webinar was recorded on 17 May 2016. The webinar is designed for users of R programming...
Can You Distill High Frequency Financial Data Efficiently Using MATLAB?
Can You Distill High Frequency Financial Data Efficiently Using MATLAB? Tuomas Eerola's article in LinkedIn Pulse introduces a solution for turning high frequency financial data efficiently into a competitive advantage using MATLAB. Computing volatility measures requires high quality...
Techila and Google bring an on-demand supercomputer to every desk
Techila Technologies releases a new on-demand solution that cuts simulation and analysis time from hours to minutes, without the cost and complexity of traditional high-performance computing (HPC). Techila, the big compute solution, is available globally on Google Cloud...
Techila is Google Premier Technology Partner
Techila Technologies has been granted the Google Cloud Platform Premier Technology Partner status. Currently, only 9 technology partner companies have qualified for this top level partner status. Premier partners have completed extensive technical training and met a rigorous...
See the latest of Techila and Google at GCP NEXT 2016
See the latest of Techila Technologies and Google Cloud Platform at GCPNEXT, 23-24 March 2016. Join us at GCP NEXT 2016, the Google Cloud Platform user conference in San Francisco. Meet the Techila team, and see how Techila...
Rocket-fast risk computing at HPCFinance London
Meet the Techila team and the leading industry speakers at the HPCFinance Conference, hosted by Aberdeen Asset Management in London, UK, on 14-15 March 2016. The presenters of the HPCFinance Final Conference include top industry speakers and academic...
Techila presents at STAC Summit London
Meet the Techila team at the Fall 2015 STAC Summit in London, UK, on 10 November 2015. Techila's Tuomas Eerola will speak in the STAC Summit London about "Is Big Computing a Headache". In his presentation he will...
Exploit the potential of data in risk management
Techila Technologies joins the BigDataFinance network to bring rocket speed to the development of sophisticated data-driven risk management and research at the crossroads of Finance and Big Data. The network consists of leading companies from banking and...
Techila benchmarks top clouds in real-world Finance HPC use-cases
Techila Technologies benchmarks the top cloud computing platforms Amazon Web Services, Google Compute Engine, and Microsoft Azure in real-world business use-cases. The report includes benchmarks and analysis of the leading clouds in real-world scenarios, in which the...
Rocket speed from the Command Line
Techila Technologies has published a new video tutorial, which presents the easiest way to integrate distributed computing speed to an existing business application: The Techila Command Line Interface. Techila Command Line Interface can be used to data...
Meet Techila at Global Derivatives
Meet the Techila team at the Global Derivatives Trading & Risk Management 2015 in Amsterdam, Netherlands, from May 19 – 21, 2015. Contact us to discuss the benefits of next generation grid computing to your business, and...
From depression to recession with Techila
The Bank of Finland publishes a paper "Kiss me deadly: From Finnish great depression to great recession", which discusses the causes of the Finnish Great Depression, 1990-1993. The simulations benefited of self-managing distributed computing, which was enabled...
ANSYS In Cloud – Scaling Up Computational Capacity
Techila Technologies and Cargotec's MacGregor have investigated how to optimize the cost of ANSYS HPC system ownership with cloud services integrated to the enterprise IT. This report looks at computing clouds as a platform for engineering simulation,...
Come meet Techila at the ONS2014
Come meet the Techila team at the ONS2014 in Norway, Stavanger from August 25-28, 2014. We will be located in Pavillion O 1335. From seismic imaging to risk management, and from process optimization to forward planning, Techila's technology...Older Entries