In this issue:
- Introducing Origami: A Grid/Cloud Task Execution Framework
- NAG Library for Java updated to Mark 26.2 - featuring latest Optimization routines
- Webinar: Getting Started with the NAG Library for Python
- Tech Report: Using the NAG Library with kdb+ in a Pure q Environment
- Best of the blog
- Out and About with NAG
Introducing Origami: A Grid/Cloud Task Execution Framework
Origami is the framework that enables optimal task execution across your HPC infrastructure connecting workstations, datacentre and the cloud. Motivated by frustration with dated, inflexible products Senior Quant Dev professionals created Origami to deliver simple set-up, rapid deployment, ease of programming and monitoring of distributed quant solutions - typically quant/risk libraries and applications.
Xifintiq have partnered with NAG - the market leading numerical library and tools provider to investment banking - to launch Origami. NAG's experience in rigorous testing and correctness combined with its respected position in the quant finance community deliver an unrivalled level of service to Origami users. This service includes tailored implementation and installation ensuring users gain maximum benefit from the framework, user training, plus first-line technical support.
- Origami puts the power of on-premise, hybrid and cloud infrastructure resources at your fingertips
- Origami removes constraints that are inherent in other grid solutions and empowers you to deliver faster solutions
- Origami delivers optimised workload scheduling using Directed Acyclic Graphs (DAGs)
- Origami offers game-changing robustness and flexibility
- Origami reduces cost by enabling simultaneous easy selection of hybrid hardware (CPU/GPU)
- Origami lets you identify and correct compute bottlenecks
NAG Library for Java updated to Mark 26.2 - featuring latest Optimization routines
NAG is pleased to report the release of the new NAG Library for Java, Mark 26.2. Many of our customers in finance use this version of the Library. This release sees the availability for Java users of our new Optimization functionality: Derivative-free Optimization for Data Fitting and an Interior Point Method for Large Scale Linear Programming Problems.
Try the Library for 30 days with a full product trial - apply here.
Webinar: Getting Started with the NAG Library for Python
Getting Started with the NAG Library for Python | 29 November 2018
This webinar will give, a short tour of the documentation of the new package, installation guide, 'Quick Start' - solving an optimization problem, and give further examples from maths and stats. More information and registration.
Tech Report: Using the NAG Library with kdb+ in a Pure q Environment
NAG and Kx share several customers, many of whom use the NAG Library with the q programming language. Within this report, we describe a procedure for using the NAG Library with kdb+ in a pure q environment that will enable developers to write less code, employ fewer development tools, and shorten overall development time. Read the report here.
Best of the Blog
Over the last decade, NAG has grown to be recognized as a unique but key player in the HPC world, a rare provider of impartial expert HPC consulting and software engineering services, helping customers around the world to get best impact at best cost from their HPC. However, as longtime NAG collaborator, former colleague and Chair, Brian Smith, recounts NAG's history with supercomputing stretches back even further.
Three years ago, our first diversity report on workforce gender was published at SC15, at the same time I was just starting my new role at NAG. A lot can change in three years so to coincide with us becoming a Women in HPC Chapter we decided to revisit that data, see what's changed and what we need to work on going forward.
Out & About with NAG
Come and see us at various conferences and events over the next few months.
Quant Insights Conference London, 16 November 2018
Fortran Modernization Workshop CEA Saclay, 26-27 November 2018
Fortran Modernization Workshop, Club des Utilisateurs Toulousains de l'Informatique Scientifique (CUTIS), Toulouse 29-30 November 2018