Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: First Look – Rogue Wave
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > First Look – Rogue Wave
Predictive Analytics

First Look – Rogue Wave

JamesTaylor
JamesTaylor
6 Min Read
SHARE

Rogue Wave Software is a company I know through their acquisition of Visual Numerics (VNI) (first reviewed here). Owned by Battery Ventures, Rogue Wave operates independently and is profitable. Their objective is to create scale in the development tool and embeddable component space focusing on high-performance computing – both in the traditional HPC environments and the emerging mainstream high-performance computing market.  The acquisitions of Visual Numerics and TotalView Technologies support that strategy.  With the exception of the major platform vendors, there are only very small companies in this space.

Their core philosophy is that lots of customers value the ability to change hardware and operating systems to improve price/performance without having to rewrite applications. Rogue Wave’s focus (and the focus of the companies it acquired) was on this kind of cross-platform, abstracted development. The TotalView debugger was built initially for cross-platform and very high-performance computing applications while VNI focused on components for embedding high-performance analytic components…

More Read

Probability and Karl Rove
Access Layer Data and Sensor-2-Server
Predictive Analytics are important no matter what IBM thinks
Some Interesting Analyses
Marketing Execs VS Market Research Execs

Copyright © 2010 http://jtonedm.com James Taylor

Rogue Wave Software is a company I know through their acquisition of Visual Numerics (VNI) (first reviewed here). Owned by Battery Ventures, Rogue Wave operates independently and is profitable. Their objective is to create scale in the development tool and embeddable component space focusing on high-performance computing – both in the traditional HPC environments and the emerging mainstream high-performance computing market.  The acquisitions of Visual Numerics and TotalView Technologies support that strategy.  With the exception of the major platform vendors, there are only very small companies in this space.

Their core philosophy is that lots of customers value the ability to change hardware and operating systems to improve price/performance without having to rewrite applications. Rogue Wave’s focus (and the focus of the companies it acquired) was on this kind of cross-platform, abstracted development. The TotalView debugger was built initially for cross-platform and very high-performance computing applications while VNI focused on components for embedding high-performance analytic components. C++, they say, is not dead and rumors of its demise (like those of the demise of the mainframe) are exaggerated. They feel that lots of applications still need very high performance and so use C++.

The various acquisitions had good technical synergy (given the shared focus on cross-platform high-performance computing) but also had good customer synergy – many are using all three products because they are focused on the kind of high-performance computing problems that the three companies all targeted. Rogue Wave has a focus in finance, telecom and government/defense with a large OEM business including folks like Huawei, Sybase and SAP. Chip manufacturers are also interested because the tools allow companies to exploit multi-core environments, for instance. Without tools like Rogue Wave’s, the newer chips will not necessarily result in better performance.

This is the core of the matter, in many ways. Computing architectures are evolving and being driven by both science and research as well as by the increasingly complexity / scale of business problems (more data, more graphics, streaming and real-time systems). Overall the architecture is moving from making a single chip faster to multi-core and to hybrid CPU/Graphical Processer Unit processing. There is more and more demand in mainstream computing for use of this kind of computing architecture – a need to take advantage of massively parallel architecture and this is outside the usual range of problems tackled by developers.

Traditionally the high-performance computing world has a far thinner range of tools than mainstream development tools. Mainstream development tools support modeling, requirements management, testing and debugging, shared development, etc. In high-performance computing there are limited editors and debuggers, with text editors and “print” statements dominating. The changing architecture market means that there is a need for new tools aimed at mainstream developers that support the new architecture. In addition they see an opportunity for cross-platform, vendor-independent tools. In their view, the platforms include those of the database and data warehouse vendors to support in-database or in-warehouse analytics.

Focus areas include prototyping with PyIMSL Studio and PV-WAVE allowing Python to be used for analytic prototyping; abstraction with IMSL and SourcePro for numeric and other computationally intensive systems that don’t want to be hard-wired to a platform; debugging with the TotalView and ReplayEngine products.

Rogue Wave clearly sees high-performance computing as a growth area and growing demand for embeddable, cross-platform, abstracted yet high-performance architecture-ready components.

Link to original post

TAGGED:application developement
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data mining to find the right poly bag makers
Using Data Analytics to Choose the Best Poly Mailer Bags
Analytics Big Data Exclusive
data science importance of flexibility
Why Flexibility Defines the Future of Data Science
Big Data Exclusive
payment methods
How Data Analytics Is Transforming eCommerce Payments
Business Intelligence
cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Robotic folder: mastery in a domain

4 Min Read
data driven mobile applications
Machine Learning

Use of Machine Learning to Make Money on Android Monetization

5 Min Read

A Uniquely Cincinnati Alternate Use Case

5 Min Read
application performance monitoring with data-driven software development
Big Data

The Role of Application Performance Monitoring in Big Data Application Development

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?