We investigate the performance impact of multithreading.
All posts in Low Level Performance
Use explicit data prefetching to faster process your data structure
When processing (searching, inserting etc) your data structure, if you are accessing it in random-access fashion, the performance will suffer due to many data cache misses. Read on how to use the explicit data prefetching to speed up access to your data structure.
Make your programs run faster: avoid expensive instructions
We will talk about expensive instructions in modern CPUs and how to avoid them to speed up your program.
The price of dynamic memory: Memory Access
If your program uses dynamic memory, its speed will depend on allocation time but also on memory access time. Here we investigate how memory access time depends on the memory layout of your data structure. We also investigate ways to speed up your program by laying out your data structure optimally.
How branches influence the performance of your code and what can you do about it?
In this articles we investigate on how branches influence the performance of the code and what can we do to improve the speed of our branchfull code.
CPU Dispatching: Make your code both portable and fast
CPU dispatchingh is all about making your code portable and fast. We will talk about how to make your detect features your CPU has at is disposal and select the fastest function for that particular CPU without a need to recompile your software.
Make your programs run faster: avoid function calls
Function calls are not cheap operations and for time critical code it is better to avoid them. This article explores techniques you can use to avoid function calls thus speeding up your code.
Make your programs run faster by better using the data cache
We investigate how the data cache influences the performance of your program, talk about ways for you to write faster programs by better leveraging the data cache.