Memory disaggregation promises transparent elasticity, high resource utilization and
hardware heterogeneity in data centers by physically separating memory and compute into …

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

The unabating growth of the memory needs of emerging datacenter applications has
exacerbated the scalability bottleneck of virtual memory. However, reducing the excessive …

Using flash-based solid state drives (SSDs) as main memory has been proposed as a
practical solution towards scaling memory capacity for data-intensive applications. However …

Most database management systems cache pages from storage in a main memory buffer
pool. To do this, they either rely on a hash table that translates page identifiers into pointers …

Memory-mapped I/O provides several potential advantages over explicit read/write I/O,
especially for low latency devices:(1) It does not require a system call,(2) it incurs almost …

We propose synergistic software and hardware mechanisms that alleviate the address
translation overhead, focusing particularly on virtualized execution. On the software side, we …

As transistor scaling becomes increasingly more difficult to achieve, scaling the core count
on a single GPU chip has also become extremely challenging. As the volume of data to …

Translation Lookaside Buffers (TLBs) are critical for building performant virtual memory
systems. Because most processors do not provide coherence for TLB mappings, TLB …

Multi-GPU systems have emerged as a desirable platform to deliver high computing
capabilities and large memory capacity to accommodate large dataset sizes. However …