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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 prerequisites are required for attending Hydra 2022?
While the conference is open to anyone interested in concurrent and distributed computing, having a background in computer science or engineering would be beneficial. Familiarity with concepts such as multi-core processing, distributed services, and basic algorithms will help participants better understand the discussions and workshops. Specific topics like the Raft consensus algorithm, ScyllaDB, and Java PathFinder indicate an advanced level of discourse, so prior knowledge in these areas would be advantageous.
What types of projects or applications will be discussed during the conference?
Hydra 2022 will cover a variety of projects and applications related to concurrent and distributed computing. These include solving practical problems with the Raft algorithm in Tarantool, making desktop IDEs distributed and collaborative, and improving database performance with parallel asynchronous replication between YDB instances. Additionally, topics like blockchain application limitations and self-stabilizing population protocols will be explored.
Who is the target audience for Hydra 2022?
The target audience for Hydra 2022 includes scientists, developers, and engineers interested in the latest advancements in concurrent and distributed computing. It is particularly suited for those working on multi-core systems, computing clusters, and large-scale distributed services. Participants looking to enhance their understanding of algorithms, database systems, and concurrent programming will find the conference especially beneficial.
How does the scope of Hydra 2022 compare to other tech conferences?
Hydra 2022 stands out in its specific focus on concurrent and distributed computing. While many tech conferences cover a broad range of topics, Hydra 2022 delves deeply into the mechanisms and challenges of multi-core and distributed systems. With workshops, panel discussions, and keynote speeches from leading experts, the conference offers an intensive exploration of subjects like relaxed data structures, HTAP workloads, and thread pool algorithms.
Is there a focus on any specific tools or platforms at the conference?
Yes, specific tools and platforms are a focal point at Hydra 2022. Sessions will include discussions on ScyllaDB and its use of LSM-tree compaction, the Java PathFinder tool for ensuring bug-free concurrent programming, and strategies for working with cloud databases. There will also be insights into using LLVM for machine learning improvements and handling distributed transactions with different platforms.
What topics are not covered at Hydra 2022?
Hydra 2022 does not focus on introductory programming concepts or basic software development practices. Instead, it assumes a certain level of pre-existing knowledge in concurrent and distributed systems. Topics like user interface design, frontend development, or basic software engineering principles are not part of the agenda. The conference is tailored towards advanced discussions and technical depth in its chosen fields.
How much time should participants expect to commit to Hydra 2022?
Hydra 2022 is a two-day event held on June 2-3. Participants should plan for full-day engagements as the conference includes a wide array of activities such as workshops, panel discussions, and networking opportunities. With 44 lessons listed, attendees can anticipate a packed schedule filled with learning and professional development opportunities. It is advisable for participants to allocate these two days entirely to the conference to fully benefit from the sessions and interactions.