qianli_cs

6 ms·

61.
ConnectorX: Accelerating Data Loading From Databases to Dataframes(github.com)
2 points by qianli_cs 2y ago|0 comments
62.
Transformers Without Normalization(arxiv.org)
4 points by qianli_cs 2y ago|0 comments
63.
OLTP Through the Looking Glass 16 Years Later [pdf](vldb.org)
1 points by qianli_cs 2y ago|0 comments
64.
High-Performance, Application-Integrated Far Memory (2020) [pdf](usenix.org)
3 points by qianli_cs 2y ago|0 comments
65.
Bottom Up Architecture(sympathetic.ink)
2 points by qianli_cs 2y ago|0 comments
66.
Matryoshka Quantization(arxiv.org)
4 points by qianli_cs 2y ago|1 comments
67.
There may not be aha moment in R1-Zero-like training(oatllm.notion.site)
78 points by qianli_cs 2y ago|8 comments
68.
Flexible Infrastructure Deployment(materializedview.io)
1 points by qianli_cs 2y ago|0 comments
69.
Robotic exoskeleton helps pianists improve speed(techxplore.com)
1 points by qianli_cs 2y ago|0 comments
70.
by qianli_cs 2y ago
I’ve seen several blog posts trying to analyze HN data on the best time to post. However, the results are all over the place. For example, the below ones have different recommendations (weekend vs weekday). - https://blog.rmotr.c
71.
by qianli_cs 2y ago
I've read a similar series from Phil back in 2020: "Writing a SQL database from scratch in Go" https://notes.eatonphil.com/database-basics.html The code is available on GitHub: https://github.com&#
72.
Billion Cell Spreadsheets with Rust(xls.feldera.io)
8 points by qianli_cs 2y ago|4 comments
73.
by qianli_cs 2y ago
Yeah, DBOS Cloud automatically (horizontally) scales your apps. For self-hosting, you can spin up multiple instances and connect them to the same Postgres database. For fan-out patterns, you may leverage DBOS Queues. This works because DBOS
74.
by qianli_cs 2y ago
DBOS always uses transactions to perform database operations. If you're writing a function that performs database operations, you can use the @DBOS.transaction() decorator to wrap the function so that DBOS's bookkeeping records co
75.
by qianli_cs 2y ago
In addition to TypeORM, DBOS supports several popular ORMs: - Drizzle (we're also a sponsor to Drizzle): https://docs.dbos.dev/typescript/tutorials/orms/using-drizzl... - Knex: https://docs.d
76.
by qianli_cs 2y ago
Each workflow is tagged by the executor ID that runs it. You can command each new executor to handle a subset of the pending workflows. This is done automatically on DBOS Cloud. Here's the self-hosting guide: https://docs.db
77.
by qianli_cs 2y ago
You'll need to click either the Python or TypeScript icon. We support both languages and will add more icons there.
78.
by qianli_cs 2y ago
Nice catch. Fixing it :)
79.
by qianli_cs 2y ago
The main use case is to build reliable programs. For example, orchestrating long-running workflows, running cron jobs, and orchestrating AI agents with human-in-the-loop. DBOS makes external asynchronous API calls reliable and crashproof, w
80.
by qianli_cs 2y ago
Hello! I'm a co-founder at DBOS here and I'm happy to answer any questions :)
81.
Key-Value Memory in the Brain(arxiv.org)
2 points by qianli_cs 2y ago|0 comments
82.
Infrastructure Vendors Are in a Tough Spot(materializedview.io)
2 points by qianli_cs 2y ago|0 comments
83.
Use of Time in Distributed Databases(muratbuffalo.blogspot.com)
3 points by qianli_cs 2y ago|0 comments
84.
by qianli_cs 2y ago
Notice a bunch of downvotes -- Apologies for being unfamiliar with the rules here (I've always been reading HN, but I'm new to commenting). I should've added a lot more details to my previous comment and been more specific. A
85.
by qianli_cs 2y ago
The article nicely explains how to build a minimalist OS — works great as an intro material. I think understanding basic OS concepts is essential for performance tuning and debugging.
86.
by qianli_cs 2y ago
Exactly, you have to (vaguely) know what you’re looking for and have some basic ideas of what algorithms would work. AI is good at helping with syntax stuff but not really good at thinking.
87.
by qianli_cs 2y ago
I think truncating down allows us to procrastinate a little more :)
88.
by qianli_cs 2y ago
I thought it was about LLM training but it’s actually prompt engineering.
89.
by qianli_cs 2y ago
Great article — it clearly explains “The devil is in the details” :) Would love to see another one for LSM-Tree, and the comparison between B-Trees and LSM-Trees.
90.
by qianli_cs 2y ago
Or let’s just reinvent a new database

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