Talk
Fusing Efficient Parallel For Loops with a Composable Task Scheduler
Anton will talk about why we need a dynamic, nestable, composable multithreading system and how it can be more efficient.
Anton Malakhov
Huawei
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The time in the program is for your time zone ().
Talk
Anton will talk about why we need a dynamic, nestable, composable multithreading system and how it can be more efficient.
Huawei
Talk
This small series of "Introduction to Concurrent Programming" talks cover a wide range of classic algorithms and techniques spiced with necessary theory.
JetBrains
Talk
In the talk, we will discuss one of the existing tools that may help a developer find subtle concurrency issues: Java PathFinder. It is a research JVM that tries to apply model checking to verify that your Java code does not have a problem with deadlocks or data races.
Huawei
Talk
In the real world, there's a phenomenon called a “phantom traffic jam” or a “traffic wave.” This is when there is a standing compression wave in automobile traffic, even though there is no accident, lane closure, or other incident that would cause the traffic jam. A similar phenomenon is possible in computer networking or storage I/O, where your data can slow down for no apparent reason. In this talk, Pavel is going to describe when and how this effect can arise and what can be done to discover it.
ScyllaDB
Talk
This small series of "Introduction to Concurrent Programming" talks cover a wide range of classic algorithms and techniques spiced with necessary theory.
JetBrains
Talk
This small series of "Introduction to Concurrent Programming" talks cover a wide range of classic algorithms and techniques spiced with necessary theory.
JetBrains
Talk
In this talk, we cover how to design concurrent Binary Search Trees starting from the simplest ones. Hopefully, after this talk, the attendee will understand the standard tricks necessary for the implementation of Binary Search Trees. These tricks are important and can help to implement other more complex data structures.
ITMO University
Talk
This talk will help you dive into the various algorithms that have been implemented in Java, .NET, and other runtimes. We will consider the tasks they solve and learn to understand problem areas. Also, solving certain tasks, we will create our own thread pool, after which we will achieve its maximum performance.
Speech Technology Center
Talk
Speakers began implementing Raft in Tarantool with somewhat inflated expectations:
In fact, Raft promises none of these things. And to get it, it is necessary to implement some add-ons, about which we will talk.
Tarantool
Tarantool
Talk
Focusing on resources of memory and time, we will discuss how efficiently tasks can be solved when facing transient faults modeled by means of self-stabilization. The talk will give an overview of the related work and focus on several fundamental tasks like counting, naming, and leader election.
Université Paris-Saclay, CNRS, LISN
Talk
In the year 2021, two particular features landed in the IntelliJ family of IDEs. Code With Me gives you the ability to invite and collaborate with others on the same project. Remote development is the feature that allows launching the IDE as a backend on a remote machine or a cloud that users can get access to instead of setting up and developing code locally. While the product-wise and usage differences are clear, they have a lot in common from the IDE synchronization perspective and are created using the same technologies. In this talk, we’ll be exploring the way such synchronization is performed, how one can separate an extremely big and complex system with tons of plugins into several parts; and what it takes to transform a single-user desktop application into a server capable of handling multiple clients.
Talk
In this short talk, we are going to discuss two somewhat provocative claims. First, cryptocurrency, the most popular application of blockchain technology, can be implemented in a much simpler and more efficient way. Second, the permissionless setting with mutual distrust, assumed by conventional blockchain implementations, is way too pessimistic in most cases. We then show how the two observations can help in designing efficient and robust replicated services.
Telecom Paris, Institut Polytechnique Paris
Talk
In this talk, Konstantin will discuss the challenges of supporting hundreds of instances of the Raft protocol on a single node and how we were able to significantly reduce the static burden on the network and disk each Raft group creates by sharing the work of failure detection and persistence between multiple groups.
ScyllaDB
Talk
This is educational first speech. Let's see why ACID transaction properties are important and how they are implemented in distributed databases with sharding and replication. What about geo-distributed databases? Is it possible to achieve fault tolerance (high availability) and support strong consistency in such databases. What are trade offs for performance. discuss famous CAP theorem and what it means for data indexing and DB transactions.
Huawei
Talk
Asynchronous replication is a well-known technique to provide an independent replica of a database for different purposes including disaster recovery, geo-replication or scaling read workload. Traditionally, a log of changes from source replica is treated as an input for target replica database. If source and target replicas are distributed databases that handle high workload, putting all updates to a single log of changes could be nearly impossible.
Yandex
Yandex
Talk
LSM-tree storage engines are known for providing very fast write throughput, as they allow new data to be flushed into immutable files called Sorted String Table, a.k.a. SSTable. But there's no such thing as a free lunch. This append-only nature of the LSM tree generates read amplification over time, because a given key can be redundantly stored across multiple immutable files. That's the reason storage engines have to employ a background compaction process, to reduce both read and space amplification.
ScyllaDB
Talk
In this talk, we will discuss using code generation for efficient operator evaluation in high-performance SQL engines.
NetSpring
Discussion
Roundtable on moving databases to the cloud. We will discuss different approaches and experiences, economic component and development.
Talk
In this talk, we consider challenges posed to modern DMBS by so-called HTAP workloads. HTAP (Hybrid Transactional & Analytical Processing) combines:
As a solution to this question, we consider several approaches: persistent-parallel trees, fork+COW approach (from HyPer), MVCC, and HTAP-aware LSM tree (from LASER).
ITMO University
Talk
Vadim will describe implementation of S3 compatible storage service based on blob and NewSQL storages at Odnoklassniki. The talk will cover the architecture and data model, features and trade-offs, performance and optimization, some intricacies and surprises. The ideas and experience presented in the talk might be useful to designers and developers of distributed storage services, especially S3-compatible and/or Cassandra-based ones.
Odnoklassniki