WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

From Loops to Lightning: .NET with SIMD

Laszlo Deak

Why settle for slow sequential loops when you can process data in parallel? Discover how to leverage SIMD vectorization in .NET to triple your execution speed.

Pause
Mute Enter Fullscreen
#1 about 2 min

Identifying the problem of character search in text files

Finding placeholders in a large text file requires efficient character searching algorithms.

#2 about 4 min

Comparing built-in string methods against manual loop iterations

Benchmarking the native string searching method reveals significant performance advantages over manual iteration.

#3 about 3 min

Understanding SIMD architecture through a grocery shopping analogy

Processing multiple data items concurrently eliminates the overhead of sequential task execution.

#4 about 2 min

Hardware instruction sets and vector registers in modern processors

Advanced vector extensions allow central processing units to perform mathematical operations on larger data chunks.

#5 about 2 min

Utilizing hardware intrinsics and vector abstractions in .NET

The framework provides both low-level architecture checks and high-level cross-platform vector types.

#6 about 2 min

Implementing an array sorting check with standard sequential loops

Iterating sequentially through an array provides a baseline approach for validating sorted element order.

#7 about 2 min

Designing a vectorized approach for evaluating sorted integer arrays

Loading array segments into registers allows pairwise comparisons to quickly identify out-of-order elements.

#8 about 3 min

Writing C# implementations using unsafe loads and vector comparisons

Utilizing vector comparison operations isolates unsorted elements across multiple memory addresses simultaneously.

#9 about 4 min

Managing loop bounds and array remainders in SIMD operations

Adjusting iteration limits prevents memory access violations while evaluating trailing elements outside the vector length.

#10 about 2 min

Benchmarking vectorized sorting logic against scalar baseline implementations

Executing formal performance tests demonstrates the execution time reduction achieved by applying vector extensions.

#11 about 3 min

Evaluating performance tradeoffs and code complexity of vectorized operations

The benefits of faster execution times must be weighed against increased implementation difficulty and register loading costs.

Matching moments

3:31 min

Evaluating WebAssembly use cases and SIMD performance benchmarking

Paweł Aniszewski Paweł Aniszewski · Europe 2026 Virtual

4:30 min

Implementing high-speed vector operations for independent data hashing

Szymon Kulec Szymon Kulec · World Congress 2026 Europe

2:33 min

Introduction to speeding up code with vector operations

Jodie Burchell · LIVE

3:49 min

Leveraging WebAssembly SIMD and 64-bit memory architectures

Chris Heilmann Chris Heilmann +3 · LIVE

3:19 min

Performance differences between for and foreach loops

Paweł Łukaszuk · LIVE

36 sec

Optimizing math calculations with the vector API

Ron Veen Ron Veen · World Congress 2025

More from World Congress 2026 Europe - Virtual Stage

One Does Not Simply Make Architecture Decisions Alone thumbnail
36:15
2 months ago

One Does Not Simply Make Architecture Decisions Alone

Vladas Diržys

From Black Box to Glass Box : Bedrock AgentCore Observability thumbnail
21:15
3 months ago

From Black Box to Glass Box : Bedrock AgentCore Observability

Yasemin Aktürk

Leading in Rhythm: How Women Make Better Decisions with Biological Intelligence thumbnail
30:41
3 months ago

Leading in Rhythm: How Women Make Better Decisions with Biological Intelligence

Julia Grosse

Better Together: Leveraging Your Observability Tools as a SIEM thumbnail
39:06
3 months ago

Better Together: Leveraging Your Observability Tools as a SIEM

Mathias Palmersheim

ChatGPT Apps: From Chat to Checkout thumbnail
30:29
3 months ago

ChatGPT Apps: From Chat to Checkout

Aaron Koivunen

Interior Decorating (TypeScript Decorators) thumbnail
29:22
3 months ago

Interior Decorating (TypeScript Decorators)

Michael Dowden

Related videos

Is it still C#? Practical systems programming with .NET (war stories included) thumbnail
24:17
World Congress 2026 Europe • 3 months ago

Is it still C#? Practical systems programming with .NET (war stories included)

Szymon Kulec

Tips, tricks and quirks in .NET thumbnail
31:13
LIVE • almost 2 years ago

Tips, tricks and quirks in .NET

Paweł Łukaszuk

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast. thumbnail
57:49
LIVE • over 3 years ago

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.

Jodie Burchell

Turbocharged: Writing High-Performance C# and .NET Code thumbnail
39:56
World Congress 2022 • over 4 years ago

Turbocharged: Writing High-Performance C# and .NET Code

Steve Gordon

Hacking C# from the inside - how to do anything in NET thumbnail
41:54
LIVE • over 5 years ago

Hacking C# from the inside - how to do anything in NET

Adam Furmanek

C++ Features You Might Not Know thumbnail
24:13
World Congress 2023 • about 3 years ago

C++ Features You Might Not Know

Jonathan Müller

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.