A Workload and Programming Ease Driven Perspective of Processing-in-Memory

Understand

Many modern and emerging applications must process increasingly large volumes of data.

• Unfortunately, prevalent computing paradigms are not designed to efficiently handle such large-scale data: the energy and performance costs to move this data between the memory subsystem and the CPU now dominate the total costs of computation.
• This forces system architects and designers to fundamentally rethink how to design computers.
• Processing-in-memory (PIM) is a computing paradigm that avoids most data movement costs by bringing computation to the data.