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IBM Technical Computing literature

Cabot Partners paper on how high speed systems are fueling low latency trading in the financial sector.

March 2015 | PDF | 976 KB
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
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.

August 2014 | PDF | 968 KB
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
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
This paper examines aspects of computing important in HPC and how they are affected by various virtualization technologies. Platform Cluster Manager – Advanced Edition optimizes that environment after jobs have been scheduled and new jobs have been ...

November 2012 | PDF | 3 MB
This whitepaper describes key architectural aspects of IBM Platform LSF including its use model, scheduling architecture, other core components and installation architecture. It highlights the product’s architectural strengths that help address current ...

October 2012 | PDF | 2 MB
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
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
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
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
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 2012 | PDF | 10 MB
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
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
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
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

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