February 15, 2013
SANTA CLARA, Calif., Feb. 15 – Algo-Logic Systems, a recognized leader in providing hardware-accelerated, real-time, networked data processing, today announced availability of its new Techo Kardio Graph (TKG) Rackmount Measurement and Monitoring system. The TKG system combines 16 precisely synchronized channels with advanced state-of-the-art Field Programmable Gate Array (FPGA) technology, that allows users to perform high performance real-time monitoring, measuring, data collecting, data-mining, data processing, data graphing, data tracking and data archiving functions.
The TKG can acquire data from all types of analog sensors to record temperature, motion (acceleration), pressure (air, water), power (current, voltage), and more by recording 16 precisely synchronized channels with 24-bit precision. The system includes an advanced 8th order filter to eliminate noise from signals.
Combining the high performance TKG Rackmount system with Algo-Logic’s data-center hosted service provides customers with secure cloud-based, real-time archiving, data-mining, data analyses and data graphing services on demand. The TKG Rackmount also allows users to program their signal triggers that notify them via SMS and email alerts when critical monitored events of interest occur. Moreover, the TKG allows 24/7 real-time connectivity to the Algo-Logic data-center to access recorded data, generate reports, view graphs and selectively share pertinent critical event information with their end customers from their laptops, tablets or mobile devices.
“The expanded Algo-Logic Systems TKG product-line allows our customers to not only monitor structural integrity of key infrastructure necessary to maintain public safety, but to also collect and process real-time data from millions of sensor devices installed within the healthcare, factory automation, mining, scientific laboratories, power generation, power distribution and many different types of inspection systems.”, said John Lockwood, CEO of Algo-Logic Systems.
Algo-Logic Systems hardware-accelerated TKG system with highly customizable data formats and graphs is ideal for monitoring the real-time health and integrity of critical assets ranging from: buildings, bridges, financial trading systems, automation equipment, high speed rails systems, chemical plants, wind turbines, piers, dams, pipelines, tunnels, underground mines, power plants, communication towers plus oil & gas rigs.
About Algo-Logic Systems
Algo-Logic Systems is a recognized leader and developer of short time-to-market gateware libraries for Field Programmable Gate Array (FPGA) devices used in accelerated finance, packet processing in data centers and mobile embedded hardware. In addition, it also has extensive experience building routers, data center switches, and customized network p rocessing system solutions in ASIC/SoC and FPGA logic.
Source: Algo-Logic Systems
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
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.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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.
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.