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 …

Cloud providers seek to deploy CXL-based memory to increase aggregate memory
capacity, reduce costs, and lower carbon emissions. However, CXL accesses incur higher …

DRAM cells in close proximity can fail depending on the data content in neighboring cells.
These failures are called data-dependent failures. Detecting and mitigating these failures …

While the memory footprints of cloud and HPC applications continue to increase,
fundamental issues with DRAM scaling are likely to prevent traditional main memory …

Graphics Processing Units (GPUs) exploit large amounts of threadlevel parallelism to
provide high instruction throughput and to efficiently hide long-latency stalls. The resulting …

We propose overcoming the memory capacity limitation of GPUs with high-capacity Storage-
Class Memory (SCM) and DRAM cache. By significantly increasing the memory capacity …

Modern data-parallel systems such as Spark rely increasingly on in-memory computing that
can significantly improve the efficiency of iterative algorithms. To process real-world …

Over the past two decades, the storage capacity and access bandwidth of main memory
have improved tremendously, by 128x and 20x, respectively. These improvements are …

Modern computing systems and applications have growing demand for memories with
higher bandwidth. This demand can be alleviated using fast, large on-die or die-stacked …

NAND flash memory is ubiquitous in everyday life today because its capacity has
continuously increased and cost has continuously decreased over decades. This positive …