Overview of the DiskANN Project (2018–present)
harsha-simhadri.org·1d·
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🦆DuckDB
A Tale from Database Performance at Scale: Rust and Driver Debugging
hackernoon.com·10h
🗃️Database Internals
The Data Backbone of LLM Systems
infoq.com·10h·
Discuss: Lobsters
🗃️Database Internals
Adding OR logic forced us to confront why users preferred raw SQL
signoz.io·1d·
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🗃️Database Internals
Accelerated Game of Life with CUDA / Triton
boristhebrave.com·6h·
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SIMD Optimization
Spiral
spiraldb.com·11h·
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🦆DuckDB
Coco – Solving the Expression Problem in Standard OO (Java, C#, Scala, ..)
drops.dagstuhl.de·16h·
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💻Programming languages
Hashed sorting is typically faster than hash tables
reiner.org·3d·
🗃️Database Internals
Speculative cascades — A hybrid approach for smarter, faster LLM inference
research.google·5h·
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🌊Stream Processing
The Vector Bottleneck: Limitations of Embedding-Based Retrieval
shaped.ai·4d·
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🗃️Database Internals
Tool-space interference in the MCP era: Designing for agent compatibility at scale
microsoft.com·11h·
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🌐Distributed systems
The Evolution of Logical Replication in PostgreSQL
enterprisedb.com·10h·
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🗃️Database Internals
We Rebuilt Our SQL Parser in Rust: 3.3x Faster with Zero-Copy and Better Errors
databend.com·19h·
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💻Programming languages
Disaggregation: A New Architecture for Cloud Databases
muratbuffalo.blogspot.com·3d·
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🌐Distributed systems
Ripple: An LLVM compiler-interpreted API to support SPMD and loop annotat
discourse.llvm.org·21h·
SIMD Optimization
The most interesting documents we've had to process as an OCR company
trycardinal.medium.com·1d·
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🏹Apache Arrow
Defeating Nondeterminism in LLM Inference
simonwillison.net·20h
📏Linear Types
Many Hard Leetcode Problems are Easy Constraint Problems
buttondown.com·1d·
🗃️Database Internals
Journey to 2-second Inter-node RL Weight Transfer
le.qun.ch·14h·
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📊Performance Profiling
Rails on SQLite: exciting new ways to cause outages
andre.arko.net·12h·
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🗃️Database Internals