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IBM Technical Computing literature
Building a solid foundation for big data analytics
You need the right tools to capture and organize a variety of data types from many sources, and then quickly analyze it within the context of your enterprise data. Following a defined implementation strategy and applying the right technologies, you can ...
June 2016 | PDF | 241 KB
IBM High Performance Services: Benchmarking performance
IBM High Performance Services lets users access a ready-to-use cluster in the cloud for quickly and economically adding computing capacity, while making it easy for users to submit work associated with their projects based on business policies.
June 2016 | PDF | 436 KB
High Performance Docking (Technical White paper-USEN)
This paper address application deployment challenges. Docker offers a technology that streamlines building, testing and shipping of such applications, enabling an application stack to be consistently deployed anywhere.
June 2016 | PDF |
Fast results and less investment with data-centric HPC
Data-centric approaches emphasize moving compute to data and actively managing data workflows in high-performance computing (HPC) clusters. HPC facilities that become data-centric can be more efficient, cost-effective and flexible, making them much better...
June 2016 | PDF | 225 KB
Maximize Productivity and Value with IBM Spectrum LSF
This white paper describes key architectural aspects of IBM Spectrum LSF contributing to performance and resiliency at scale which enable repeatable performance leading to better business outcomes.
June 2016 | PDF | 939 KB
Platform License Scheduler
Platform License Scheduler extends the capabilities of Platform LSF enabling effective policy-based sharing of software licenses ensuring that licenses are allocated based on business need. By scheduling license, organizations can make the most productive...
May 2016 | PDF | 10 MB
Cabot Partners: High Speed Systems Fueling Low Latency Trading Analyst Report
Cabot Partners paper on how high speed systems are fueling low latency trading in the financial sector.
March 2015 | PDF | 976 KB
Cabot Partners: 3D Virtual Desktops that Perform
By converging HPC with 3D Desktop Virtualization, the NeXtScale (with NVIDIA GPUs) accelerates many demanding applications that are compute, data, video & graphics-intensive. Learn how you can improve end user productivity, promote greater collaboration &...
September 2014 | PDF | 411 KB
Breaking the scaling limit with IBM Platform HPC for IBM System x and Intel MIC
A white paper detailing integrated solutions from IBM and Intel Corporation that can help technical computing users address both parallel programming and system management challenges to improve utilization of their infrastructure and benefit from ...
November 2012 | PDF | 1 MB
Comparison of IBM Platform Symphony and Apache Hadoop Using Berkeley SWIM
IBM® has created a proprietary implementation of the open-source Hadoop MapReduce run-time that leverages the IBM PlatformTM Symphony distributed computing middleware while maintaining application-level compatibility with Apache Hadoop.
November 2012 | PDF | 654 KB
An application server approach to building clusters
The complexity of a cluster is reduced by using the concept of traditional application server. HPC workload scheduler works like an application server. It provides robustness, scalability, high availability and can be used without heavy cluster ...
August 2012 | PDF | 4 MB
Improving the efficiency of GPU clusters
GPU cluster requires more than just state-of-the-art hardware. To maximize the efficiency of the hybrid GPU cluster and achieve the best economic return schedulers need to have explicit awareness of the underlying GPU hardware and sophisticated, topology ...
July 2012 | PDF | 4 MB
Top 5 challenges for Hadoop MapReduce in the enterprise
Platform Symphony is an enterprise-class server platform that delivers low-latency, scaled-out MapReduce workloads. It supports multiple applications running concurrently so that organizations can increase utilization across all resources resulting in a ...
May 2012 | PDF | 4 MB
Algorithmics and IBM Platform Computing solution for financial markets
IBM Platform Computing is a proven technology with a more advanced and capable computing infrastructure to cost effectively scale up and optimize computing capacity for risk management applications, such as those from Algorithmics.
May 2012 | PDF | 4 MB
A developer’s guide to accelerating Excel models with Platform Symphony
Platform Symphony helped developers improve the performance of Microsoft Excel based computations by providing the needed flexibility and agility making it easier to respond to changing business needs.
May 2012 | PDF | 2 MB
The hidden costs of open source
Platform HPC enables HPC customers to side-step many overhead cost and support issues that often plague open-source environments and enable them to deploy powerful, easy to use clusters.
May 2012 | PDF | 7 MB
Architecture of an enterprise-class MapReduce distributed runtime engine
The MapReduce distributed runtime engine in Platform Symphony is used to deliver superior performance, reliability and scalability for a variety of MapReduce applications.
May 2012 | PDF | 12 MB
Advancing Bioinformatics with Platform Symphony Advanced Edition
IBM Platform Symphony enables greater resource utilization and performance gain within the genomic data science center. It also examines the deployment and management of bioinformatics compute models that leverage MapReduce in both public and private ...
May 2012 | PDF | 7 MB
IBM System Storage
IBM System z
IBM Power Systems
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