Hydra 2022. Concurrent and distributed computing conference.

36h 1m 42s
English
Paid

Course description

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.

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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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