The Compute Express Link (CXL) is an open industry-standard interconnect between
processors and devices such as accelerators, memory buffers, smart network interfaces …

TinyML: Current Progress, Research Challenges, and Future Roadmap Page 1 TinyML:
Current Progress, Research Challenges, and Future Roadmap Muhammad Shafique New …

Computing, since its inception, has been processor-centric, with memory separated from
compute. Inspired by the organic brain and optimized for inorganic silicon, NorthPole is a …

Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …

Processing-using-DRAM has been proposed for a limited set of basic operations (ie, logic
operations, addition). However, in order to enable full adoption of processing-using-DRAM …

Lifelong learning—an agent's ability to learn throughout its lifetime—is a hallmark of
biological learning systems and a central challenge for artificial intelligence (AI). The …

Dense matrix multiply (MM) serves as one of the most heavily used kernels in deep learning
applications. To cope with the high computation demands of these applications …

Tiny Machine Learning (TinyML) is an emerging technology proposed by the scientific
community for develo** autonomous and secure devices that can gather, process, and …

Aggressive memory density scaling causes modern DRAM devices to suffer from
RowHammer, a phenomenon where rapidly activating (ie, hammering) a DRAM row can …

Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …