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⚡ Vectorized Execution
Query Processing, SIMD, Columnar Storage, Batch Processing
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33670
posts in
13.3
ms
Optimizing
Recommendation Systems with
JDK
’s Vector API
netflixtechblog.com
·
1h
🔄
SIMD Programming
Lower
Latency
and Higher
Throughput
with Multi-node DeepSeek Deployment
research.perplexity.ai
·
5h
🏗️
LLM Infrastructure
Deep Dive: How
StarRocks
Built a High-Performance
Vectorized
Engine
starrocks.io
·
6d
⚡
SIMD
Fast
Autoscheduling
for Sparse ML
Frameworks
fredrikbk.com
·
2d
·
Discuss:
Hacker News
🕯️
Candle
CACTUSDB
: Unlock Co-Optimization Opportunities for SQL and AI/ML
Inferences
arxiv.org
·
22h
🎯
Qdrant
Google AI Introduces STATIC: A Sparse Matrix Framework
Delivering
948x Faster
Constrained
Decoding for LLM Based Generative Retrieval
marktechpost.com
·
1d
🔤
Tokenization
🐥 Optimizing
nested
array operations in PHP: from O(
3n
) to O(n)
yellowduck.be
·
1d
🏹
Apache Arrow
Simulating
Queueing
buttondown.com
·
8h
📅
Resource Scheduling
Optimal Heterogeneous Memory Configs for AI Tasks Under
Specified
Performance Metrics (Stanford,
UCSC
)
semiengineering.com
·
1d
🧠
Memory Hierarchy Design
Linux 7.0 Shows Off Nice Performance Gains For
Databases
In Small AMD
EPYC
Servers
phoronix.com
·
11h
⚡
Glommio
I built a
persistent
memory
layer
for AI agents in Rust
news.ycombinator.com
·
7h
·
Discuss:
Hacker News
🔎
Tantivy
i3T4AN/Semantic-skill-space
: Semantic Skill Space (
SSS
): Injecting skill embeddings into KV cache for small-model agents to recover skill behavior with lower prompt-context overhead.
github.com
·
1d
·
Discuss:
r/LocalLLaMA
🎨
Chroma
From
19k
to 4.2M events/SEC: story of a SQLite query
optimisation
mnt.io
·
1d
·
Discuss:
Hacker News
🗄️
libSQL
WarpSpeed
automatically rewrites Nvidia core library, achieves 3.6-100x
speedup
doubleai.com
·
10h
·
Discuss:
Hacker News
📊
Model Serving Economics
A Common Interface for
Automatic
Differentiation
jmlr.org
·
14h
🕯️
Candle
and we have new
evidence
quarkus.io
·
1h
⚡
Systems Performance
PSU3D0/formualizer
: Embeddable spreadsheet engine — parse, evaluate & mutate Excel workbooks from Rust, Python, or the browser. Arrow-powered, 320+ functions.
github.com
·
8h
·
Discuss:
r/rust
✏️
Code Editors
Show HN:
Timber
–
Ollama
for classical ML models, 336x faster than Python
news.ycombinator.com
·
20h
·
Discuss:
Hacker News
🦙
Ollama
Optimizing SSD-Resident Graph
Indexing
for
High-Throughput
Vector Search
arxiv.org
·
3d
🗂️
Vector Indexes
Disaggregated
Prefill
and Decode
research.perplexity.ai
·
5h
💾
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