October 29, 2012
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.
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.
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.
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).
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.
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.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.
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.
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.