CF

Hydra 2022. Concurrent and distributed computing conference.

36h 1m 42s
English
Paid

Hydra 2022 is a premier tech conference that unites top scientists and developers eager to explore the depths of concurrent and distributed computing. This year's event will be held on June 2-3.

Why Concurrent and Distributed Computing?

In today's technological landscape, computing is inherently concurrent and distributed. Whether it's a mainstream multi-core machine, a computing cluster, or a large-scale distributed service, modern computing systems involve multiple processes performing independent computations and communicating to synchronize their activities. Understanding these concurrent and distributed computations is crucial for staying competitive in the fields of computer science and engineering.

What to Expect at Hydra 2022?

Participants at Hydra 2022 can look forward to engaging sessions, insightful discussions, and networking opportunities with leading experts in the field. The conference will cover a range of topics designed to enhance your knowledge and application of concurrent and distributed computing.

  • Workshops led by industry leaders
  • Panel discussions with top scientists
  • Keynote speeches from pioneers in computing
  • Opportunities to connect with peers and professionals

About the Author: JUG.ru Group

JUG.ru Group thumbnail

JUG.ru Group is a Russian-origin organisation that runs the largest software-engineering conferences in the post-Soviet space — including JPoint and JBreak (Java), JS Nation, DotNext (.NET), HolyJS, and others. The conferences run multiple times a year and have been some of the most consistent technical-content events in the region for over a decade.

The CourseFlix listing carries a JUG.ru Group conference recording set. Material is conference-talk format aimed at developers tracking the evolution of the JVM, JavaScript, and .NET ecosystems.

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#1: ENG Hydra 2022 Online Conference Opening
All Course Lessons (44)
#Lesson TitleDurationAccess
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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Frequently asked questions

What is Hydra 2022. Concurrent and distributed computing conference. about?
Hydra 2022 is a premier tech conference that unites top scientists and developers eager to explore the depths of concurrent and distributed computing. This year's event will be held on June 2-3 . Why Concurrent and Distributed Computing?…
Who teaches this course?
It is taught by JUG.ru Group. You can find more courses by this instructor on the corresponding source page.
How long is the course?
It contains 44 lessons with a total runtime of 36 hours 1 minute. Every lesson is available to watch online at your own pace.
Is it free to watch?
It is part of CourseFlix's premium catalog. A subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch it online?
The course is available to watch online on CourseFlix at https://courseflix.net/course/hydra-2022-concurrent-and-distributed-computing-conference. The page hosts every lesson with the integrated video player; no download is required.