~/talk

New Computer Trends and How This Affects Us

Talkat PyData Madrid 2016 · 2016-03-12..03-13· [python, web-performance]
slides:none on file

Claims that CPU‑level compression plus blocking beats raw I/O by reducing transferred bytes and fitting decompression into CPU latency budgets, with examples: PyTables/HDF5 indexes and out‑of‑core expressions, SSDs on PCIe vs SATA2 bottleneck (~500–550 MB/s), optimal block sizes (memory ~1 KB, SSD ~4 KB, HDD ~1 MB), multi‑core + SIMD use and even 24 cores, and concrete projects built and measured: blos compressor and Bcalls chunked columnar container, group‑by out‑of‑core runs within 2–4× of pandas and blos sometimes exceeds memcpy speeds.

AI-written summary · about

  1. 0:00Introduction
  2. 1:31Why trends matter now
  3. 7:19SSD evolution and latency
  4. 13:43Block access and containers
  5. 19:34CPU starvation and memory
  6. 26:08Compression for RAM and storage
  7. 30:09BColz high performance
  8. 35:52Blosc 2 future trends
  9. 38:19Compression's impact
  10. 38:59Q&A
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