思想与社会2015 · 分享于 Hacker News
Scalability, but at What Cost [pdf]
研究 PDF · 待核实探索《Scalability, but at What Cost [pdf]》的原文与 Hacker News 社区讨论,查看来源并加入阅读清单。
从论文,走向讨论
看看社区如何讨论这个想法。
来自 Hacker News 的原始讨论。不同的视角、疑问,以及值得继续思考的线索。
最多展示 100 条相关讨论。论文可能出现在评论中,并非原帖投稿内容。
在讨论中发现的引用
按 HN 条目顺序展示最近的 50 条引用来源。
评论 #49130036 评论 #47712894 评论 #45928672 评论 #45302311 评论 #45125682 评论 #44061134 评论 #43198508 评论 #41897311 评论 #41648544 评论 #40266815 评论 #39881570 评论 #37969902 评论 #34702022 评论 #34697773 评论 #32190641 评论 #30553218 评论 #28859124 评论 #28500917 评论 #27955753 评论 #27823871 评论 #27587637 评论 #24534832 评论 #23876481 评论 #23517371 评论 #22362960 评论 #21910881 评论 #19053112 评论 #17714179 评论 #17295518 评论 #15333412 评论 #14401944 评论 #14041845 评论 #13695107
YUptrenda ·
Ask HN: What are some cool but obscure data structures you know about?
2,051 赞同753 评论
Ytosh ·
Don't use Hadoop when your data isn't that big (2013)
598 赞同352 评论
Yspeckx ·
I regret building this $3000 Pi AI cluster
468 赞同361 评论
YImpossible ·
A lot of complex “scalable” systems can be done with a simple, single C++ server
398 赞同362 评论
Y7d7n ·
Simplicity is an advantage but sadly complexity sells better (2022)
376 赞同256 评论
Yhigerordermap ·
Ask HN: Your Favourite HN Comment?
342 赞同232 评论
Yshadaj ·
Distributed systems programming has stalled
287 赞同217 评论
YMindGods ·
Powerful AI Can Now Be Trained on a Single Computer
282 赞同94 评论
Ytanelpoder ·
650GB of Data (Delta Lake on S3). Polars vs. DuckDB vs. Daft vs. Spark
263 赞同107 评论
Yyusufaytas ·
How to do distributed locking (2016)
244 赞同95 评论
Yandreasha ·
A lost decade chasing distributed architectures for data analytics?
215 赞同113 评论
Yjchanimal ·
COST in the land of databases
203 赞同55 评论
Yjaffee ·
One-Process Programming Notes
185 赞同39 评论
Yjonbaer ·
Polars Cloud and Distributed Polars now available
183 赞同92 评论
Yyagizdegirmenci ·
Apache Heron: A realtime, distributed, fault-tolerant stream processing engine
170 赞同120 评论
Yern ·
Ask HN: Is Accidental Complexity Growing Faster Than Essential Complexity?
147 赞同59 评论
YAnon84 ·
The Future Is Big Graphs: A Community View on Graph Processing Systems
144 赞同65 评论
YHaoZeke ·
Introduction to High-Performance Scientific Computing
142 赞同15 评论
Yprostoalex ·
The rise of embarrassingly parallel serverless compute
132 赞同131 评论
Ywglb ·
Scalability, but at What Cost [pdf]
132 赞同32 评论
Ysingledigits ·
Show HN: Coros – A Modern C++ Library for Task Parallelism
129 赞同58 评论
Ysbhn ·
Gitlab 500 error
120 赞同116 评论
Yjeremysalwen ·
What you must know about Memory, Caches, and Shared Memory [pdf]
117 赞同8 评论
Y0xedb ·
Apache Flink
115 赞同58 评论
Ydrob ·
Accidentally exponential behavior in Spark
75 赞同33 评论
Yjayhoon ·
My laptop is faster than your Elastic cluster
69 赞同10 评论
Yjsnell ·
Fooling the masses with performance results on parallel computers (2010)
53 赞同15 评论
Ymunchor ·
Big Data Is Dead
43 赞同8 评论
Yoptimalsolver ·
No, a supercomputer won’t make your code run faster (2017)
36 赞同36 评论
Yzomglings ·
Cluster? F#*k One machine is all you need
7 赞同5 评论
Ymrry ·
Scalability but at what COST? [pdf]
5 赞同0 评论
Yfanf2 ·
Scalability but at what COST? [pdf] (2015)
3 赞同0 评论
Ymartinlaz ·
Scalability! But at what COST? (2015) [pdf]
3 赞同1 评论
Yargentum47 ·
Old laptops in a colo as low cost servers
3 赞同2 评论
Ytosh ·
Scalability But at what COST? (2015) [pdf]
2 赞同0 评论
Ykalaracey ·
Scalability But at what COST? (2015) [pdf]
1 赞同0 评论
Ycroes ·
We Built a Streaming SQL Engine
1 赞同0 评论
Ygurjeet ·
Scalability but at What Cost? [pdf]
1 赞同0 评论
YJohnBerryman ·
Just brute force your embeddings
1 赞同1 评论