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Big Data Journal: Article

Supercomputing Tackle Big Data Challenges

Bringing innovations to the Big Data era

We all feel it, data use and growth is explosive. Individuals and businesses are consuming - and generating - more data every day.

The challenges are common for nearly all businesses operating in every industry:  ingest all the data, analyze it as fast as possible, make good sense of it, and ultimately drive smart decisions to positively affect the business - all as fast as possible!

Fujitsu brings the processors of supercomputing in the Fujitsu M10 enterprise server family to help organizations meet these everyday challenges.  What once was reserved for data-intensive scientific computing is now especially relevant to mission-critical business computing, and it's all driven by big data.

Fujitsu M10 Server Family

Fujitsu M10 Server Family:  Fujitsu M10-1, Fujitsu M10-4, Fujitsu M10-4S

From high-throughput connectivity to data sources, to high-speed data movement to and from high-performance processing units, all the way to serving data and analytics results for mission-critical business intelligence (BI) applications, Fujitsu's innovative technologies leveraged from decades in High-Performance Computing (HPC) enable enterprises to impact decisions, boost business productivity, and enhance the bottom line.

Dynamic Scaling

The Fujitsu M10 server line ranges from one to 64 SPARC64 X+ processors, each with 16 cores at speeds up to 3.7 GHz.   Extending the existing SPARC V9 instruction set architecture, the SPARC64 X+ adopts HPC-ACE (High Performance Computing Arithmetic Computational Extension), which was developed for the Fujitsu supercomputers. "Software on Chip" technology on all M10 models enables faster computational results by taking functions previously handled by software and putting them right into the processor itself. Through this innovative approach, the decimal floating-point arithmetic processing required by financial applications and database computing is done directly on the hardware in the processor, eliminating the overhead of binary-to-decimal conversions and speeding up overall computational results. Further, Single Instruction Multiple Data (SIMD) technology, once reserved only for HPC, also allows processing of multiple data in a single instruction cycle, dramatically accelerating results. This vector processing capability allows certain workloads such as columnar databases and business analytics to process massive data faster.

SPARC64 X+ processor die: 16 cores

SPARC64 X+ processor die: 16 cores

The Fujitsu M10's interconnect technology matches the power of its processors.  Fujitsu's innovative high-performance interconnect provides high bandwidth and low latency for high-speed internal data access and transfers among all SPARC64 X+ processors in the Fujitsu M10 server. All processors access all memory and all I/O slots equally, so that a large workload is as easy to deploy and support as a smaller workload.

Fujitsu M10 also offers the latest PCI Express serial I/O technology to provide fast connectivity to data warehouses, operational systems and other data sources.  The data can be fed to high performance BI systems through as many as 128 internal I/O slots on the Fujitsu M10 servers and up to 928 slots with the optional PCI Expansion Units.

SPARC64 X+ Processor

With the extreme performance of SPARC64 X+ processors and unrivaled utilization efficiency through innovative high performance supercomputing technologies, the Fujitsu M10 servers allow customers to quickly leverage large data sets and access the critical information they need for real-time decisions in ever-changing environments.  It helps companies get results with Big Data, faster.

More Stories By Ferhat Hatay

Dr. Ferhat Hatay is product marketing lead with Fujitsu Oracle Center of Excellence (FOrCE) supporting Fujitsu M10 servers worldwide. His experience includes serving in key roles at Sun Microsystems, Oracle, and HAL (A Fujitsu Company, not the HAL 9000!) driving innovative open large-scale infrastructure solutions for high performance and enterprise computing. Ferhat started his career at NASA Ames Research Center building infrastructures for large-scale computer simulations and Big Data analysis. He forever remains a rocket scientist. Follow him at Twitter: @FerhatSF.

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