The dependence of traditional network functions (NFs) on special hardware results in high
capital expenditures (CAPEX) and operating expenditures (OPEX). Network Function …

The conventional approach of moving stored data to the CPU for computation has become a
major performance bottleneck for emerging scale-out data-intensive applications due to their …

As a new term in the financial industry, FinTech has become a popular term that describes
novel technologies adopted by the financial service institutions. This term covers a large …

The explosion of digital data and the ever-growing need for fast data analysis have made in-
memory big-data processing in computer systems increasingly important. In particular, large …

The conventional wisdom is that aggressive networking requirements, such as high packet
rates for small messages and microsecond-scale tail latency, are best addressed outside the …

Energy consumed for transferring data across the processor memory hierarchy constitutes a
large fraction of total system energy consumption, and this fraction has steadily increased …

The advent of new memory technologies that are denser and cheaper than commodity
DRAM has renewed interest in two-tiered main memory schemes. Infrequently accessed …

Pointer chasing is a fundamental operation, used by many important data-intensive
applications (eg, databases, key-value stores, graph processing workloads) to traverse …

Modern computing is hungry for RAM, with today's enormous capacities eagerly consumed
by diverse workloads. Hardware address translation overheads have grown with memory …

Software-controlled heterogeneous memory systems have the potential to increase the
performance and cost efficiency of computing systems. However they can only deliver on …