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A Deep Dive into C++ techniques for Lowest Latency

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Manage episode 415827481 series 2359874
Content provided by QuantLabs.net. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by QuantLabs.net or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this enlightening episode, join our host, Brian from quantlabs.net as he delves deep into the exciting world of latency and high frequency trading, with a primary focus on C++. This episode promises to pull you deep into the nuts and bolts of performance optimization, providing a comprehensive exploration of latency-sensitive applications and how they impact the Memory Subsystem. It's a world of code, geekiness, and high-level trading intelligence that promises to inform and captivate any tech-minded enthusiast.

Get out FREE trading tech books here

Follow along as Brian navigates a revealing article found on the CPP subreddit, labeled 'Latency Sensitive Applications and the Memory Subsystem: Keeping the Data in the Cache - Johnny's Software Lab'. From exploring the advantages of hardware-based HFT systems and the importance of effective cache management techniques - the conversation spans critical areas of software and hardware performance optimization in trading environments.

Not just an overview, Brian also takes a deep dive into coding techniques designed to minimize latency and maximize performance. You'll gain insight into coding examples, discussions around the use of hardware and software cache warming, the impact of different caching approaches on performance, and why a customized, well-articulated architecture is a must-have in achieving low latency.

Get on our Discord to talk about this

Beyond just coding, Brian also looks at the broader landscape, touching on the importance and role of various hardware in reducing latency and even extends the conversation to the cloud space, touching on the challenges and opportunities in leveraging Cloud vNICs.

Demystifying Latency: A C++ Deep Dive into High-Frequency Trading - QUANTLABS.NET

Whether you're interested in quant, trading, or improving your understanding of C++ techniques for optimizing latency, this podcast promises to leave you with a wealth of knowledge and insights that will help you navigate the world of high-frequency trading. Come along for this engaging journey through the intersection of streamlining software performance and trading technology.

  continue reading

148 episodes

Artwork
iconShare
 
Manage episode 415827481 series 2359874
Content provided by QuantLabs.net. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by QuantLabs.net or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this enlightening episode, join our host, Brian from quantlabs.net as he delves deep into the exciting world of latency and high frequency trading, with a primary focus on C++. This episode promises to pull you deep into the nuts and bolts of performance optimization, providing a comprehensive exploration of latency-sensitive applications and how they impact the Memory Subsystem. It's a world of code, geekiness, and high-level trading intelligence that promises to inform and captivate any tech-minded enthusiast.

Get out FREE trading tech books here

Follow along as Brian navigates a revealing article found on the CPP subreddit, labeled 'Latency Sensitive Applications and the Memory Subsystem: Keeping the Data in the Cache - Johnny's Software Lab'. From exploring the advantages of hardware-based HFT systems and the importance of effective cache management techniques - the conversation spans critical areas of software and hardware performance optimization in trading environments.

Not just an overview, Brian also takes a deep dive into coding techniques designed to minimize latency and maximize performance. You'll gain insight into coding examples, discussions around the use of hardware and software cache warming, the impact of different caching approaches on performance, and why a customized, well-articulated architecture is a must-have in achieving low latency.

Get on our Discord to talk about this

Beyond just coding, Brian also looks at the broader landscape, touching on the importance and role of various hardware in reducing latency and even extends the conversation to the cloud space, touching on the challenges and opportunities in leveraging Cloud vNICs.

Demystifying Latency: A C++ Deep Dive into High-Frequency Trading - QUANTLABS.NET

Whether you're interested in quant, trading, or improving your understanding of C++ techniques for optimizing latency, this podcast promises to leave you with a wealth of knowledge and insights that will help you navigate the world of high-frequency trading. Come along for this engaging journey through the intersection of streamlining software performance and trading technology.

  continue reading

148 episodes

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