🔮We are looking for research and software engineers to join Orb DB, a conscious, AI-driven graph database. It is our most ambitious system yet! International applicants are welcome to apply below. Please share and contact @SHorchidan for details! https://t.co/5Nxn5V0wgY
Datacenter networking performance is becoming a critical bottleneck.
In our latest ADRS blog, we show how OpenEvolve automatically discovers improved congestion control by reducing queue length by 49% on the NSDI ’22 PowerTCP benchmark, starting from a baseline algorithm.
Systems research is changing: AI is enabling white-box algorithm discovery, not just black-box tuning.
Our new ADRS paper evaluates three frameworks and shows consistent gains over human designs—up to 13× speedup in load balancing for MoE experts and 35% lower cloud costs across different cloud regions.
🏆 The ACM SIGMOD Systems Award 2025 goes to
Spanner: Google’s Globally-Distributed Database
"for reimagining relational data management to enable serializability with external consistency at global scale"
https://t.co/BnRx4JPNAW
📢📢 Have a PhD position on the IO-path of deep learning, cofunded by Innovation Fund Denmark. Selected candidate will be affiliated with Samsung Research Denmark and @dasyaITU@ITUkbh. Supervised by @bonivivek, Javier González, & me. See details at https://t.co/UBZmCUanU5
Hey Folks! 🌟
THE NEW ALBUM IS OUT today and it’s finally yours. It has been an epic 5 year journey until today and now it feels as if a whole world has changed during this period.
Produced by Tigran Hamasyan
@naiverecords#tigranhamasyan#thebirdofathousandvoices
I am looking for full-time PhD students on topics centered around knowledge graphs spanning from graph data management to neurosymbolic AI and GraphRAG.
Application deadline: September 12, 2024
Link: https://t.co/aOz7tWI2GJ
This is a really cool exmaple of building a special index, for querying Parquet files using @ApacheDataFusio.
The research project makes SQL queries ~1000x faster with relatively straightforward optimizer pass in DataFusion and a novel index: https://t.co/xUilnBdTWp
Excited to introduce datafusion-uwheel, a Rust crate that provides native DataFusion support for speeding up time-based analytics through µWheel.
Learn more: https://t.co/wGYpkg7Weq
"A survey on the evolution of stream processing systems"
Banger of a paper by @MarioFragkoulis, discussing ordering semantics, fault tolerance, scalability, state management and more, of different stream processors.
👉 https://t.co/XCojSdBDji
µWheel 0.2.0 is now available! I cover both the new release and the recent DEBS conference experience in the following post - https://t.co/NDE3didCZq
Also, the paper is now available through the website https://t.co/5oaRUmRF57
I just realized that reviewer#2 used ChatGPT and didn't even bother to hide it. I appreciate the friendly and constructive feedback though.
Here's how I spot ChatGPT:
- all the points start with a statement written in title case (aka capitalised the beginning of big words) 1/2
In this post, I show the potential of integrating µWheel as an index within DataFusion (@ApacheDataFusio) to speed up temporal aggregation queries up to 60-60000x.
https://t.co/JmbFaJLSj5
Happy to share that our paper on µWheel, an Embeddable Aggregate Management System for Streams and Queries was accepted to DEBS24.
µWheel unifies the aggregate management for streaming window aggregation and adhoc queries over historical data.
Learn more https://t.co/Q8uMv7LUUc
We are happy to announce the release of our latest book titled “Programming Heterogeneous Hardware via Managed Runtime Systems” published by @SpringerNature together Juan Fumero (@snatverk) and Thanos Stratikopoulos (@thanos_str )!
https://t.co/kk9xyGDiZl
If you’re in Athens for @EuroSys_conf checkout PAPOC, my favourite workshop for all things consistency. @ChrisJe34211511 will be talking about a hot new take on 2PC and David Chu will taking about programmatically scaling BFT protocols. Definitely worth a watch!
On Valentine’s day, all you need is pip 😍
Whether you found your match in life or not, Valentine matches your datasets.
Feb. 14th anniversary-release (v0.2.0) includes:
— faster batch-matching
— more string similarity functions
— redesigned metrics
++
https://t.co/rYqrhEqK6v