94 citations · 217 across the 22 of their papers we have counts for
5 papers · 1 filter
Telescope: Telemetry at Terabyte Scale
Alan Nair, Sandeep Kumar, Aravinda Prasad +2
Data-hungry applications that require terabytes of memory have become widespread in recent years. To meet the memory needs of these applications, data centers are embracing tiered…
Motivating Next-Generation OS Physical Memory Management for Terabyte-Scale NVMMs
Shivank Garg, Aravinda Prasad, Debadatta Mishra +1
Software managed byte-addressable hybrid memory systems consisting of DRAMs and NVMMs offer a lot of flexibility to design efficient large scale data processing applications. Opera…
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices
Quintin Fettes, Avinash Karanth, Razvan Bunescu +2
Many cloud applications are migrated from the monolithic model to a microservices framework in which hundreds of loosely-coupled microservices run concurrently, with significant be…
Real analytic functions and monomial curves
János Kollár
We show that a function is real analytic at the origin iff it is arc-analytic, has a subanalytic graph, and its restriction to every monomial curve is analytic. This complements re…
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs
Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya +5
Deep Learning (DL) acceleration support in CPUs has recently gained a lot of traction, with several companies (Arm, Intel, IBM) announcing products with specialized matrix engines…