Name: Hydra 2022. Concurrent and distributed computing conference.
Price: 9 USD
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Hydra 2022. Concurrent and distributed computing conference.

Hydra is a tech conference that gathers top-rated scientists and developers willing to dive deep into concurrent and distributed computing. Hydra 2022 will held on June 2-3.

Computing nowadays is inherently concurrent and distributed. Be it a mainstream multi-core machine, a computing cluster, or a large-scale distributed service, a modern computing system involves multiple processes that concurrently perform independent computations and communicate to synchronize their activities. Understanding concurrent and distributed computations is therefore essential to be competitive in practice or research in computer science and engineering.

About the Author: JUG Ru Group

JUG Ru Group — hardcore meetings and conferences for IT professionals. We host events for experienced professionals. Complex, technical, specialized. We carefully select speakers to help you navigate the industry: trends, tools, approaches, global language and platform updates.

Watch Online 44 lessons

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#1: ENG Hydra 2022 Online Conference Opening

All Course Lessons (44)

#	Lesson Title	Duration
1	ENG Hydra 2022 Online Conference Opening Demo	15:03
2	ENG Intro to Concurrent Programming 1/3: Classic Stack and Queue Algorithms	59:59
3	ENG Fusing Efficient Parallel For Loops with a Composable Task Scheduler	01:04:56
4	ENG How ScyllaDB makes LSM-tree compaction state-of-art by leveraging RUM	01:02:04
5	Hydra's Heads: Dmitriy Ivanov	42:37
6	ENG Self-stabilizing Population Protocols	01:08:00
7	Solving Raft's practical problems in Tarantool. What, how and why	59:08
8	ENG Java PathFinder: going to Mars without bugs and deadlocks	55:05
9	Hydra's Heads: Vladimir Ozerov	41:25
10	ENG Pragmatic Code Generation for Efficient Execution	48:11
11	ENG Making a desktop IDE distributed and collaborative	01:02:53
12	Exploring Traffic Jams in Your Data Flows	59:59
13	ENG Opening	10:52
14	ENG Intro to Concurrent Programming 2/3: Modern Queues and Flat Combining	01:01:39
15	ENG A sledgehammer to crack a nut: why blockchain is not (always) a good idea	56:13
16	Hydra's Heads: Anton Podkopaev	47:05
17	ENG HTAP Workloads: Challenges and Solutions	01:01:08
18	Roundtable: Cloud Databases as a Service	01:04:39
19	Hydra's Heads: Petr Kuznetsov	45:03
20	ENG Intro to Concurrent Programming 3/3: Relaxed Data Structures for Parallel Algorithms	01:02:43
21	ENG Scaling Raft	58:31
22	ENG Summing Up Online Hydra 2022	12:01
23	C++ Russia 2022 & Hydra 2022 in-person opening	13:16
24	Distributed transactions implementation trade-offs	01:01:51
25	Monolith vs Microservices, and How to Work Effectively with the Latter in C++	01:00:58
26	Interview with Vadim Tsesko	52:45
27	Parallel Asynchronous Replication between YDB Database Instances	01:01:16
28	Memory as a Concept in Heterogeneous Systems	01:03:12
29	Is there life without RTTI or how to write your own dynamic_cast	14:24
30	Interview with Anton Polukhin	58:34
31	Using machine learning to improve inlining in LLVM	22:43
32	ENG What about Binary Search Trees?	01:00:34
33	File system and network stacks in Userland: why we must use them in 2022	01:01:04
34	C++ compiler and optimizations for open RISC-V instruction set architecture	31:42
35	Interview with Konstantin Vladimirov	43:18
36	ENG Thread pools: variety of algorithms and features	01:02:46
37	How to make your life easier when developing a client application in modern C++:	01:02:07
38	Type Sanitizer: a way to detect violations of strict aliasing rules in C++	32:34
39	Interview with Andrey Fomichev	51:39
40	OK S3	01:02:13
41	What a C++ developer should keep in mind about processor architecture	55:34
42	Обзор последних исследований в области подбора оптимальных последовательностей оптимизационных	39:12
43	Roundtable: Concurrency	01:02:55
44	C++ Russia 2022 & Hydra 2022 closing	07:51

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