“In-Memory Computing (IMC) introduces a new paradigm of computation that offers high efficiency in terms of latency and power consumption for AI accelerators. However, the non-idealities and defects ...

In a new Nature Communications study, researchers have developed an in-memory ferroelectric differentiator capable of performing calculations directly in the memory without requiring a separate ...

To build this new platform, the researchers developed a theory for the programming interfaces of in-memory computing architecture and created software development libraries that convert Python ...

“This includes all the digital-to-analog and analog-to-digital conversion overheads, which need to be designed in specialized and integrated ways with the in-memory-computing architecture.

As such, we will draw material from seminal and recent publications in top computer architecture conferences and journals ... and advanced techniques in more traditional topics, including memory ...

A computer architecture in which the program's instructions and the data reside in separate memory banks that are addressed independently. Named after the Mark I computer at Harvard University in ...

HANA is based on in-memory computing technology SAP acquired when it bought Sybase in July for $5.8 billion. Later this year SAP will debut a new release of HANA and, perhaps more significantly ...

Vector and SIMD), memory hierarchy design, I/O, and recent trends in architecture (e.g., low-power architectures, application-specific processors). Case studies. REQUIRED TEXT: None RECOMMENDED TEXT: ...

As artificial intelligence (AI) continues to advance, researchers have identified a breakthrough that could make AI technologies faster and more efficient.

Statistical computing is undergoing a transformative phase, driven by innovations in architecture, scalability, and ...