Memoir Systems intros groundbreaking technology for networking and multicore SoC products

SANTA CLARA, USA: Memoir Systems Inc. has announced its initial targeted products. The company’s patent-pending Algorithmic Memory technology provides an order of magnitude increase in embedded memory performance. Memoir’s technology can also lower embedded memory area and power consumption, shorten memory development time, and provide versatility benefits. As a result, for its initial product applications, the company is focusing on networking SoCs (such as network processors, switches and Storage Area Network (SAN) switches), and multicore processor products.

Memoir CEO, Adam Kablanian explained: “We are literally writing a whole new chapter for the embedded memory market. The versatility and strength of our technology can deliver next-generation memory performance to system architects and memory design engineers who are developing SoCs. We believe that networking and multicore are the two product segments that can initially benefit most from our solutions.”

Embedded memory performance has become the limiting factor in overall system performance for SoC designs. Memoir addresses this limitation with its patent-pending technology that utilizes the power of algorithms. Algorithmic Memory is implemented as standard RTL logic wrapped around existing embedded memory macros. It presents multiple memory interfaces that can all be accessed simultaneously, giving up to 10X more Memory Operations Per Second (MOPS).

Lightspeed Venture Partners, a leading global venture capital firm managing over $2-billion of capital commitments is a major investor in Memoir Systems. Barry Eggers, MD for Lightspeed stated: “We invested in Memoir for two key reasons: The Memoir team brings world-class expertise in the area of memory algorithms, and its unique patent-pending technology can be leveraged across a broad set of current and future memory applications. We believe that this combination of team and technology puts Memoir in a position to disrupt some very large markets.”

Sundar Iyer, co-founder and CTO for Memoir Systems noted: “With Memoir’s Algorithmic Memory technology, memory performance is viewed as a configurable entity. System architects and SoC designers only need to specify their ideal memory performance characteristics, read/write interface configurations and any special requirements regarding area and power characteristics.” Da Chuang, co-founder and COO stated that, “Memoir’s synthesis platform can automatically select suitable memory macros from a memory IP library, and incorporate our memory algorithms to synthesize a new memory that is custom-made for the targeted application.”