Cliff Click
where else to find them
no profile links on file
what they talk about
all 7 in the filters
where they keep going back
- JVM Language Summit2 editions2012–2015
all 5 in the filters
on a stage with
never shared a talk
who talks about the same things
- Alex Dathskovsky12 talks
- Ionut Balosin13 talks
- Andrei Alexandrescu27 talks
- Odin Holmes13 talks
- Dean Wampler29 talks
- Ivica Bogosavljevic6 talks
| title | conference | date |
|---|---|---|
| Tales from the Frontlines: Startup War Stories | SPLASH 2020 REBASE | 2020-11-16 |
A dozen startup war stories across 15–20 years show concrete wins and failures: building a 32‑register RISC JIT and hardware-enabled JVM that produces the… | ||
| Debugging data races | Hydra 2020 | 2020-07-06 |
Covers concrete root causes (load/store reordering, missing memory barriers, double-check and double-read races) and fixes (volatile/atomics, ordering on both… | ||
| H2O internals | Scale By The Bay 2018 | 2018-11-15 |
H2O is a pure-Java cluster runtime that stores compressed columnar data in-heap, runs most analytics at memory-bandwidth speeds and uses a MapReduce-style… | ||
| VM Design Choices | JVM Language Summit 2015 | 2015-08-10 |
HotSpot evolves from a single-threaded Self port into a complex VM where choices matter: an untrusted JNI call costs ~40–50 instructions because of handle… | ||
| Fast Analytics On Big Data | GOTO Copenhagen 2014 | 2014-09-25 |
Claims an open-source H2O platform that gets 1000x faster than disk and 100x faster than R by keeping data in in-memory compressed columnar vectors split into… | ||
| Big Data, Small Computers | JVM Language Summit 2012 | 2012-07-30 |
Builds a distributed key-value store that uses UDP for control and TCP for data transfers, caches keys locally, and integrates HDFS pointers to handle… | ||
| nothing matches | ||