Univa HPC Job Bank
HPC in the Cloud


Dedicated to covering high-end cloud computing
in science, industry and the datacenter

Language Flags
Translation Disclaimer

Subscribe | Sign In

October 29, 2012

Samplify Announces APAX IP Core for Memory Acceleration

CAMPBELL, Calif., Oct. 29 — Samplify, the leading intellectual property company for accelerating memory, I/O, and storage in computing, consumer electronics and mobile devices, announced the availability of its APAX hardware IP core that boosts the performance of multi-core CPUs, GPUs, application processors, and systems-on-chip. The APAX IP accelerates throughput of memory, I/O, and storage by 2X to 8X for high-performance computing (HPC) and cloud computing, as well as consumer electronics and mobile devices performing applications such as image acquisition, video processing, and 3D graphics.

"Multi-core CPUs are hitting the memory wall," said Al Wegener, CTO and founder of Samplify. "With each new process node, the number of processor cores on a die can double with Moore's Law, but the throughput of memory, I/O, and storage fails to keep up with this growth. Hence, the performance of multi-core applications is increasingly memory, I/O, and storage bound. APAX is the only solution that shatters the memory wall by accelerating the throughput of DDRx, SAS/SATA, SSD, PCIe, Ethernet, and Infiniband, by as much as eight times."

The APAX technology is a universal numerical data encoder that operates on all integer or floating-point data types, as well as images and wireframe meshes. APAX achieves typical encoding rates of 2:1 to 8:1 without affecting the results of computing or imaging applications. The low-complexity APAX IP core supports an industry-standard AXI bus interface, serving multiple clients in an SoC or motherboard chipset: the memory controller, the flash or disk storage controller, and the I/O controller. The low latency of the APAX IP core even makes it suitable for implementation between Level 3 and Level 2 cache. The APAX IP core is fully compatible with APAX software products, and the included Linux software driver allows seamless switching between HW and SW implementations of the APAX encoder and decoder.

Availability

The APAX IP core is available immediately for SoCs and FPGAs from Samplify and its sales partners. Samplify will also demonstrate APAX running on the Xilinx Zynq Extensible Processor Platform, accelerating computing applications running on two ARM Cortex-A9 processors by more than 200 percent, in booth 703 at the ARM TechCon 2012 conference in Santa Clara, California, October 31 to November 1. For more information, visit the Samplify website at www.samplify.com/apax-ip.

About Samplify

Samplify is a Silicon Valley startup providing the only software and hardware numerical encoder for solving memory, I/O, and storage bottlenecks in HPC, cloud computing, consumer electronics and mobile devices. Samplify investors include Charles River Ventures and Formative Ventures and strategic investors Schlumberger, Mamiya, and IDT. For more information, visit www.samplify.com.

-----

Source: Samplify

RSS Feeds

Feeds by Topic

Feeds by Content Type


Subscribe to All Content

Most Read Blogs


Feature Articles

CERN, Google, and the Future of Global Science Initiatives

Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...

Avoiding Scientific Computing Bottlenecks in the Cloud

Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...

Overcoming the Cloud Security Barrier for Financial Services

The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
Read more...

Short Takes

Running Computational Fluid Dynamics in the Cloud

May 16, 2013 | When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...

In Support of Cloud-based Rendering

May 10, 2013 | Australian visual effects company, Animal Logic, is considering a move to the public cloud.
Read more...

Internet2 Awards Program Seeks Innovative Applications

May 10, 2013 | Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...

HPC and the True Cost of Cloud

May 08, 2013 | For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Exploring the Potential of Heterogeneous Computing

04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.

Sponsored Multimedias

Newsletters

Stay informed! Subscribe to HPC in the Cloud email Newsletters.

HPC in the Cloud Update
HPCwire Weekly Update
Digital Manufacturing Report
Datanami
HPCwire Conferences & Events
Job Bank
HPCwire Product Showcases


ISC

HPC Job Bank


Featured Events



  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States




HPC in the Cloud Conferences & Events
Home | Features | Short Takes | This Just In | Special Features | Public Cloud | Private Cloud | Hybrid Cloud | IaaS | PaaS | SaaS | Cloud Management | Open source | Virtualization | Networking | Datacenters | Applications | Hardware | Storage | Security | Compliance | Standards | Research | Use Cases | Event News | Vendor News | Academia & Research | Media & Entertainment | Financial Services | Government | Life Sciences | Manufacturing | Energy | Retail | Market Watch | Events | Multimedia | Whitepapers | Job Bank | About HPC in the Cloud | Contact Us | Contributors | Site Map | Subscribe | Write for Us
HPC in the Cloud
Tabor Communications |Tabor Publications & Events
Tabor Communications