Keynote: How Open Data Science Opens the World of Innovation
summary
Claims that up to 20% of servers will run machine learning, that FPGA in-package acceleration arrives for deep learning, and that 3D cross point Optane cuts SSD latency from ~90 µs to ~10 µs and lets hundreds of GB act like memory all appear. Demonstrated numbers include ~4× IO speedups with Optane, a reported 10× speedup for PCA on Spark, and native‑level NumPy/SciPy performance on multi‑core 72‑core Xeon hardware. Tools named: Python, Anaconda, Spark, FPGA, Optane.
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chapters (13)
- 0:00Open data science intro
- 7:21Data revolution and computing
- 8:54FPGA acceleration for ML
- 13:053D cross point memory and Optane
- 18:43Multicore Python and vector instructions
- 21:48Hardware-software synergy in Python
- 24:17Cambrian explosion in data science
- 25:43Data literacy and decisions
- 30:55Python as cross-domain bridge
- 33:43Data science as team sport
- 36:12Python data community growth
- 38:19Open data science and tech access
- 40:25Open data science movement
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