Today's systems are overwhelmingly designed to move data to computation. This design
choice goes directly against at least three key trends in systems that cause performance …

Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …

Modern computing systems suffer from the dichotomy between computation on one side,
which is performed only in the processor (and accelerators), and data storage/movement on …

Poor DRAM technology scaling over the course of many years has caused DRAM-based
main memory to increasingly become a larger system bottleneck. A major reason for the …

IMC has the potential to address a critical and foundational challenge affecting computing
platforms today-that is, the high energy and delay costs of moving data and accessing data …

A major shift from compute-centric to data-centric computing systems can be perceived, as
novel big data workloads like cognitive computing and machine learning strongly enforce …

Many modern and emerging applications must process increasingly large volumes of data.
Unfortunately, prevalent computing paradigms are not designed to efficiently handle such …

Many important applications trigger bulk bitwise operations, ie, bitwise operations on large
bit vectors. In fact, recent works design techniques that exploit fast bulk bitwise operations to …

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

In-memory computing has long been promised as a solution to the" Memory Wall" problem.
Recent work has proposed using chargesharing on the bit-lines of a memory in order to …