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Tobias Pfeiffer

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titleconferencedate
Keynote: Benchee: 9 Years of Benchmarking on the BEAMCode BEAM Lite Stockholm 20252025-06-02
Benchee becomes a practical, extensible benchmarking suite: a layered architecture that lets plugins replace collection, formatting and stats; it adds memory…
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Elixir & Phoenix - Fast, Concurrent and ExplicitØredev 20192019-11-06
Elixir compiles to the BEAM and uses pattern matching, immutable data and actors to get cheap concurrency and fault tolerance, with hot code swapping available…
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Do You Need That Validation? Let Me Call You Back About ItRuby on Ice 20192019-02-22
Shows that before_validation callbacks cause hidden bugs (example: auto-setting event datetimes that broke tests) and huge test/setup cost (one case forces…
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Your monolith, Elixir and youCode BEAM Lite Berlin 20182018-10-12
Company builds two separate Elixir apps to augment a Rails monolith: a courier tracking service and a fulfillment UI. Tracking uses Elixir/Phoenix sockets then…
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Stop Guessing and Start Measuring - Benchmarking in PracticeLambda Days 20182018-02-22
Benchmarks using benchee on Elixir and Phoenix produce concrete surprises: argument order and tail recursion change speed and memory, a real bug shows a query…
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Stop Guessing and Start Measuring - Benchmarking in PracticeErlang User Conference 20172017-06-08
Starts from a bad quick shell check that reports 65 microseconds vs 210 microseconds then shows a proper harness with 5s runs, warmup, medians, histograms and…
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Elixir & Phoenix – fast, concurrent and explicitRubyConf Portugal 20162016-10-27
Elixir runs on the Erlang VM and Phoenix demonstrates extreme concurrency: benchmarks show 2 million WebSocket connections on one server and the BEAM supports…
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What did AlphaGo do to beat the strongest human Go player?Full Stack Fest 20162016-09-05
AlphaGo beats Lee Sedol 4–1 by combining Monte Carlo tree search with deep learning: a 12‑layer convolutional neural network trained on human games (≈55% move…
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Beating Go thanks to the power of randomnessRubyConf 20152015-11-15
Claims that random simulation plus tree search beats old approaches using Monte Carlo Tree Search, deploys 50k+ playouts per second on strong engines, and wins…
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