Dynamic memory allocators for real-time embedded systems need to fulfill three fundamental requirements: bounded worst-case execution time, fast average execution time, and minimal fragmentation.

Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights ...

LWMalloc can benefit any embedded or IoT system that operates under strict memory and performance constraints. These include consumer electronics, such as smart TVs, set-top boxes, home appliances, ...

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Non-volatile memory is an important component in a wide range of high-performance embedded applications. Especially, many consumer, industrial, and medical applications need increased re-writability ...

Rapid advances in microelectronics are driving mega trends across industries, creating a need for new technologies and optimized devices with better performance. With large volumes of data being made ...

The type of memory a designer selects for an embedded project drives overall system operation and performance, so obviously this is a very important decision. Whether the system runs on batteries or ...

For design engineers developing the next generation motherboards, DRAMmemory is becoming a major concern as end-users demand more memory.Software operating systems are getting larger and the ...

The persistent need for small-density memory in today’s market. Why embedded applications need small-density NOR flash memory. What are the best options for small-density NOR flash? Companies that ...

UNISYST MRAM unifies code storage and data memory in a high-density, non-volatile architecture for edge AI, industrial and mission-critical designs Everspin Technologies, Inc. (NASDAQ: MRAM), the ...