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Benefits HPC Brings to Genomics

HPC Life Sciences

Besides the obvious benefits to individuals, who will receive more targeted diagnosis and treatment, organizations that implement or contribute to personalized medicine can expect a number of benefits.

Removing Bottlenecks in Next Generation Sequencing

Genomic Sequencing

This is the 4th installment of a 6 article series on the trends and technologies impacting the application of HPC in Life Sciences. Here we explore how companies like SGI and Intel address computational and storage problems inherent in Next Generation Sequencing (NGS) applications.

InsideHPC Guide to Genomics

Guide to Genomics Sm

Processing complex genomic data sets requires massive compute power, storage and network capabilities. Getting the balance right is critical to success. The insideHPC Guide to Genomics looks at the benefits, challenges of applying HPC to Genomics as well as many success stories.

Open Computing Drives Innovation and Efficiency


The Open Compute Project Foundation was created to design the most efficient server, storage and related designs for the next generation of data centers in an open and collaborative development model. By sharing designs that maximize density, minimize power consumption and deliver expected performance, completely new computing environments can be developed, free from the limitations of legacy thinking.

Going from the Lab to the Data Center

Genomic Sequencing

In the late 1980s, genomic sequencing began to shift from wet lab work to a computationally intensive science; by end of the 1990s this trend was in full swing. The application of computer science and high performance computing (HPC) to these biological problems became the normal mode of operation for many molecular biologists.

insideHPC Guide to Open Computing

HPC Guide to Open Computing - Thumb

The Open Compute Project, initiated by Facebook as a way to increase computing power while lowering associated costs with hyper-scale computing, has gained a significant industry following. This guide to Open Computing is design to help organizations optimize their HPC environment to achieve higher performance at a lower operating cost.

Genomics and Big Data

HPC Life Sciences 2

Advances in computational biology as applied to NGS workflows have led to an explosion of sequencing data. All that data has to be sequenced, transformed, analyzed, and stored. The machines capable of performing these computations at one point cost millions of dollars, but today the price tag has dropped into the hundreds of thousands of dollars range.

IBM Platform Computing Delivers New HPC Cloud Offerings

HPC Cloud

Clusters that are purchased for specific applications tend not to be flexible as workloads change. What is needed is an infrastructure that can expand or contract as the workload changes. IBM, a recognized leader in High Performance Computing is applying its expertise in both HPC and Cloud computing to bring together the technologies to create the HPC Cloud.

IBM Platform Computing – Ready to Run Clusters in the Cloud

Cluster Cloud sm

Demands by users that are running applications in the scientific, technical, financial or research areas can easily outstrip the capabilities of in-house clusters of servers. IT departments have to anticipate compute and storage needs for their most demanding users, which can lead to extra spending on both CAPEX and OPEX once the workload changes.

The insideHPC Guide to HPC in Life Sciences

HPC Life Sciences

The term next generation sequencing (NGS) is really a misnomer. NGS implies a single methodology, but the fact is that over the past 10 to 15 years there have been multiple generations and the end is nowhere in sight. Technological advances in the field are continuing to emerge at a record setting pace.