It has been a long time that computer architecture and systems are optimized for efficient
execution of machine learning (ML) models. Now, it is time to reconsider the relationship …

Machine learning has enabled significant benefits in diverse fields, but, with a few
exceptions, has had limited impact on computer architecture. Recent work, however, has …

Many modern computing systems must provide reliable latency with minimal energy. Two
central challenges arise when allocating system resources to meet these conflicting …

Non-Volatile Main Memory (NVMM) systems provide high performance by directly
manipulating persistent data in-memory, but require crash consistency support to recover …

Modern software systems are often equipped with hundreds to thousands of configurations,
many of which greatly affect performance. Unfortunately, properly setting these …

Machine learning and artificial intelligence are invaluable for computer systems
optimization: as computer systems expose more resources for management, ML/AI is …

The commercial release of byte-addressable persistent memories (PMs) is imminent.
Unfortunately, these devices suffer from limited write endurance—without any wear …

SSD has been playing a significantly important role in caching systems due to its high
performance-to-cost ratio. Since cache space is much smaller than that of the backend …

Inside a solid-state disk (SSD), cache stores frequently accessed data to shorten the user-I/O
response time and reduce the number of read/write operations in flash memory, thereby …

With the growing demand for technology scaling and storage capacity in data centers, phase-
change memory (PCM) has garnered attention as a next-generation nonvolatile memory …