Demo Data from SIGIR 2026 / reviewers in the wild / expert
Nikhita Kunati
dblp:332/2094
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
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.
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Memory systems · 50% Storage systems · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Operating systems › resource management › memory management › virtual memory
memory mapping |
0.6 | 1 | 2022 | DaxVM: Stressing the Limits of Memory as a File Interface · MICRO 2022 |
Operating systems › resource management › memory management
virtual memory |
0.6 | 1 | 2022 | DaxVM: Stressing the Limits of Memory as a File Interface · MICRO 2022 |
Storage systems
file systems |
0.6 | 1 | 2022 | DaxVM: Stressing the Limits of Memory as a File Interface · MICRO 2022 |
Memory systems › non-volatile memory
persistent memory |
0.6 | 1 | 2022 | DaxVM: Stressing the Limits of Memory as a File Interface · MICRO 2022 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | DaxVM: Stressing the Limits of Memory as a File InterfaceabstractPersistent memory (PMem) is a low-latency storage technology connected to the processor memory bus. The Direct Access (DAX) interface promises fast access to PMem, mapping it directly to processes’ virtual address spaces. However, virtual memory operations (e.g., paging) limit its performance and scalability. Through an analysis of Linux/x86 memory mapping, we find that current systems fall short of what hardware can provide due to numerous software inefficiencies stemming from OS assumptions that memory mapping is for DRAM. In this paper we propose DaxVM, a design that extends the OS virtual memory and file system layers leveraging persistent memory attributes to provide a fast and scalable DAX-mmap interface. DaxVM eliminates paging costs through pre-populated file page tables, supports faster and scalable virtual address space management for ephemeral mappings, performs unmappings asynchronously, bypasses kernel-space dirty-page tracking support, and adopts asynchronous block pre-zeroing. We implement DaxVM in Linux and the ext4 file system targeting xS6-64 architecture. DaxVM mmap achieves 4.9x higher throughput than default mmap for the Apache webserver and up to 1.5x better performance than read system calls. It provides similar benefits for text search. It also provides fast boot times and up to 2.95x better throughput than default mmap for PMem-optimized key-value stores running on a fragmented ext4 image. Despite designed for direct access to byte-addressable storage, various aspects of DaxVM are relevant for efficient access to other high performant storage mediums. Chloe Alverti, Vasileios Karakostas, Nikhita Kunati, Georgios I. Goumas, Michael M. Swift |
MICRO | 3 |