Database management systems will continue to manage large data volumes. Thus, efficient
algorithms for accessing and manipulating large sets and sequences will be required to …

Disk arrays were proposed in the 1980s as a way to use parallelism between multiple disks
to improve aggregate I/O performance. Today they appear in the product lines of most major …

Large language models (LLMs) have revolutionized AI, but are constrained by limited
context windows, hindering their utility in tasks like extended conversations and document …

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

A memory system and method of operating the same is described, where the memory
system is used to store data in a RAIDed manner. The stored data may be retrieved …

Current systems for graph computation require a distributed computing cluster to handle
very large real-world problems, such as analysis on social networks or the web graph. While …

Facebook's corpus of photos, videos, and other Binary Large OBjects (BLOBs) that need to
be reliably stored and quickly accessible is massive and continues to grow. As the footprint …

Although deep learning has made great progress in recent years, the exploding economic
and environmental costs of training neural networks are becoming unsustainable. To …

Computer Architecture: A Quantitative Approach, Fifth Edition, explores the ways that
software and technology in the cloud are accessed by digital media, such as cell phones …

We have designed and implemented the Google File System, a scalable distributed file
system for large distributed data-intensive applications. It provides fault tolerance while …