Compute-in-memory (CIM) is a new computing paradigm that addresses the memory-wall
problem in hardware accelerator design for deep learning. The input vector and weight …

Data movement between the processing units and the memory in traditional von Neumann
architecture is creating the" memory wall" problem. To bridge the gap, two approaches, the …

This paper presents a programmable and scalable digital neuromorphic architecture based
on 3D high-density memory integrated with logic tier for efficient neural computing. The …

Haswell, Intel's fourth-generation core processor architecture, delivers a range of client
parts, a converged core for the client and server, and technologies used across many …

We describe the 4th Generation Intel® Core™ processor family (codenamed “Haswell”)
implemented on Intel® 22 nm technology and intended to support form factors from desktops …

Memory-centric architecture, which bridges the gap between compute and memory, is
considered as a promising solution to tackle the memory wall and the power wall. Such …

Chiplet-based design, which breaks a system into multiple smaller dice (or “chiplets”) and
reassembles them into a new system chip through advanced packaging, has received …

Recently, on-device training has become crucial for the success of edge intelligence.
However, frequent data movement between computing units and memory during training …

Semiconductors continue to be the foundation for computing and communications solutions,
the basis of the Internet of Everthing, and the primary driver in the future of electronics …

To scale the ferroelectric random access memory (FeRAM) technology toward 28 nm or
beyond, it is critical to develop stacked capacitor (with sufficient surface area) to allow good …