Abstract Processing-in-memory (PIM) techniques have gained much attention from computer
architecture researchers, and significant research effort has been invested in exploring and …

The rapid growth of" big-data" intensified the problem of data movement when processing
data analytics: Large amounts of data need to move through the memory up to the CPU …

One of the main challenges for modern processors is the data transfer between processor
and memory. Such data movement implies high latency and high energy consumption. In …

As applications become more data-intensive, issues like von Neumann's bottleneck and the
memory wall became more apparent since data movement is the main source of inefficiency …

Serverless has become a new dominant cloud architecture thanks to its high scalability and
flexible, pay-as-you-go billing model. In serverless, developers compose their cloud services …

This thesis demonstrates that it is feasible for systems code to expose a latency interface that
describes its latency and related side effects for all inputs, just like the code's semantic …

Data-centric applications are increasingly more common, causing issues brought on by the
discrepancy between processor and memory technologies to be increasingly more …

Knowledge Discovery in Databases (KDD) is another name for data mining. It's also known
as the process of extracting interpretable, intriguing and valuable statistics from unstructured …