The CM1K chip enables true parallelism to rapidly improve the performance of super computers in multicore environments
MOUNTAIN VIEW, Calif., Jan. 3, 2013 /PRNewswire/ -- Based on its recent analysis of the cognitive computing processors market for pattern recognition, Frost & Sullivan recognizes CogniMem Technologies Inc. with the 2012 North American Frost & Sullivan New Product Innovation Award for its pioneering neural network system-on-chip CM1K.
The most powerful computers and processors today are based on the von Neumann architecture, which often sees the processor idling while waiting for data from memory when performing real-time, high-performance computing. Apart from wasting system resources, memory bottlenecks are frequent in a multicore environment, which considerably limits processor speed. CogniMem's CM1K integrated circuit (IC) resolves this memory bottleneck in a superior fashion, when compared to other market participants, by obviating the need for an instruction set in its processor architecture.
"By emulating a neuron's synaptic response in silicon, CogniMem has enabled 'true' parallelism and has opened the doors for high-performance computing at extremely low power and cost," said Frost & Sullivan Research Analyst Sunanda Jayanth. "In essence, none of the issues that currently bog down the performance of multicore processors, such as cache coherency, clock synchronization, or scalability, affect CogniMem's pattern recognition chip."
The core of the CM1K chip packs 1024 hardware-based neurons that implement a fully parallel, low-power, non-linear classifier/recognizer. Unlike the reduced instruction set computing (RISC) machines or digital signal processors (DSPs) that require microinstructions for pattern matching, the CM1K chip is based on zero instruction set computing (ZISC). Each neuron functions independently as a processing element, as well as an integrated memory with learning capability. The ZISC processor is thus capable of performing an evaluation in less than four microseconds, rendering it of immense value in real-time applications.
"Based on the K-Nearest Neighbor (KNN) and Restricted Coulomb Energy/ Radial Basis Function (RCE/RBF) algorithms, the CM1K chip can store memories, evaluate distance vectors, perform associative recognition, learn, and classify objects based on training examples," explained Jayanth. "Besides increased accuracy and improved quality control, the chip offers reduced costs, as the trainable system does not demand maintenance costs."
The CogniMem CM1K Chip is expected to enable new application areas and cutting-edge product designs that influence the market in a big way. The new architecture will prove useful for machine vision, digital signal processing, target tracking, event detection, motion control, speech recognition, language translation, and data mining, among other applications.
"In fast-paced manufacturing environments, a self-learning system empowers manufacturers to address key concerns and issues without affecting cost, quality, or production rates," concluded Jayanth. "As such, the CogniMem system increases performance/watt by 10(3) for the best industrial application solution, making pattern recognition possible for varied applications."
Acknowledging the unique value proposition CogniMem Technologies offers through its neural network processor technology, Frost & Sullivan is proud to present the company with the 2012 North American Frost & Sullivan New Product Innovation Award in the cognitive computing processors market for pattern recognition.
Each year, Frost & Sullivan presents this award to the company that that has developed an innovative element in a product by leverage leading-edge technologies. The award recognizes the value-added features/benefits of the product and the increased ROI it offers customers, which, in turn, increases customer acquisition and overall market penetration potential.
Frost & Sullivan Best Practices Awards recognize companies in a variety of regional and global markets for demonstrating outstanding achievement and superior performance in areas such as leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analysis, and extensive secondary research in order to identify best practices in the industry.
About CogniMem Technologies Inc.
Co-founded in May 2011 by the inventors of the CM1K- Guy Paillet and Anne Menendez- and joined by Bruce McCormick, CogniMem Technologies is a fabless semiconductor company providing components, modules and tools for advancing the cognitive memory approach towards accelerating machine learning type applications. Its mission is to market the existing CM1K chip and design and develop next generations of pattern recognition chips targeting usage models in sensory devices as well as cognitive computing systems.
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