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winwang

848 karma · joined June 17, 2022

Effective efficiency. Building a hardware-accelerated (big) data platform.

submissions comments

Towards GPU Type Inference

winwang.blog·8 pts·winwang·

McGridsort: Warping Grids for GPU k-way mergesort

winwang.blog·3 pts·winwang·

Non-Messing-Up++: Diagonal Sorting and Young Tableaux

winwang.blog·14 pts·winwang·

Google Cloud Console (GCP) Has Dark Mode

docs.cloud.google.com·1 pts·winwang·

Launch HN: ParaQuery (YC X25) – GPU Accelerated Spark/SQL

135 pts·winwang·

Ask HN: Which function definition keyword do you prefer, def or fn?

1 pts·winwang·

Faster sorting with SIMD CUDA intrinsics (2024)

winwang.blog·92 pts·winwang·

Ask HN: People using BigQuery for data ingestion, biggest pain points?

2 pts·winwang·

Can GenAI Improve Developer Productivity?

resources.uplevelteam.com·1 pts·winwang·

Unified Communication X

github.com·3 pts·winwang·

Leveraging Spark 3 and Nvidia's GPUs to Reduce Cloud Cost by Up to 70%

medium.com·3 pts·winwang·

RegDem: Increasing GPU Performance via Shared Memory Register Spilling

arxiv.org·2 pts·winwang·

Show HN: Beating Microsoft's Garnet KV Store in less than 300 lines of code

github.com·3 pts·winwang·

Show HN: Faster sorting with register shuffling in CUDA

github.com·3 pts·winwang·

Sorting with CUDA (SIMD) Shuffling

winwang.blog·4 pts·winwang·

Can we 10x Rust hashmap throughput?

wiwa.substack.com·11 pts·winwang·