Jesse Sathre

dblp:44/7562 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0009-5155-7064ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 87% Cloud and datacenter computing · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems
memory disaggregation
1.012026
CXL in Cloud Practice: Practical Lessons for Incrementally Scaling Deployment · IEEE Trans. Computers 2026
Memory systems
memory expansion
1.012026
CXL in Cloud Practice: Practical Lessons for Incrementally Scaling Deployment · IEEE Trans. Computers 2026

Methods — techniques the papers use, named apart from their topics

error rate analysis · 1.0end-to-end latency decomposition · 1.0
YearPublicationVenuePosition
2026 CXL in Cloud Practice: Practical Lessons for Incrementally Scaling Deployment
abstract
This paper explores learnings from first-generation Compute Express Link (CXL) memory expansion to accelerate CXL’s journey to broad, robust use. While broad adoption will be a long journey similar to that of RDMA, we argue that the first step—CXL.mem expansion—is viable on today’s hardware. Through an end-to-end analysis, we revisit common showstoppers: we decompose memory access latency and show that CPU and DRAM internals, rather than the CXL protocol, dominate latency and variability, and we demonstrate how system slack absorbs link error rates above nominal specifications. Along the way, we distill practical guidance on device validation, monitoring, failure modes, security, and multi-tenant interference, and we outline a pragmatic adoption pathway: solidify robust expansion first, prototype micro-pooling next, and move to selective sharing as the ecosystem matures.
Daniel S. Berger, Karthik Kumar, Midhul Vuppalapati, Chet Douglas, Jesse Sathre, Ian Robinson, Mark D. Hill
IEEE Trans. Computers5