Intel® Threading Building Blocks C++ Sample Application Code Document number: US. Get the open-source TBB tarball from ( select the Commercial Aligned Release). Copy or move the tarball to whatever. Discover a powerful alternative to POSIX and Windows-based threads – Intel Threading Building Blocks, a C++ based framework design.

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Concurrency comes at a price, though. Get the open-source TBB tarball from http: There also will be possibility uttorial use USB sticks with pre-configured virtual machine images as well as to access remote machines through SSH connection instructions will be provided during the tutorial. Operations on count are atomic and cannot be interrupted by the vagaries of process or thread scheduling.

This tutorial starts with a survey of heterogeneous architectures and programming models, and discusses how to determine if a computation is suitable for a particular accelerator.

Tutorial: Develop an Application With Intel® Threading Building Blocks

No matter how threads are scheduled, there’s no way count would have different values in different threads. Listing 7 below shows the Intel TBB code. The empty constructor just initializes the “function parameters” aka the class intep membersand the operator function actually runs the loop.

Finally, students will be provided with an overview of the TBB Flow Graph Analyzer tool and shown how it can be used to understand application inefficiencies related to utilization of system resources. It’s a far faster alternative to mutexes, and you could safely do away with the need for locking and unlocking code. To start off, after we initialize all the memory, parse arguments, etc. TBB implements parallel loops by encapsulating them inside operator functions of specialized classes.


While TBB was first introduced in as a shared-memory parallel programming library, it has recently been extended to support heterogeneous programming. Admittedly, the problem is not horribly interesting, but can still benefit from parallelism, provided the arrays are reasonably large.

Let’s move on to concurrent containers. You must always set the ref count for a task before spawning children. His research interests include heterogeneous programming models and architectures, parallelization of irregular codes and energy consumption. That’s why count is declared as an atomic variable: Due to energy constraints, high performance computing platforms are becoming increasingly heterogeneous, achieving greater performance per watt through the use of hardware that is tuned to specific computational kernels or application domains.

Loop parallelization is one of the easiest ways to achieve parallelism from a single-threaded code. At first glance maybe; just remember that you need three methods: It must have a method named join to add partial sums and a constructor tutotial special arguments called the untel constructor.

Aleksei Fedotov is a software engineer at Intel. His interests include parallel computer architectures, parallel programming, runtime development, optimization and machine learning.

See Tutprial topics for links to more detail.

Intel® Threading Building Blocks Tutorial

When splitting the array into sub-arrays for each individual thread, you want to maintain some granularity for example, each thread is responsible for summing N elements, where N is neither too big nor too small. Now, assume that the variable count from earlier is being accessed by multiple threads of control.


Sign in or register to add and subscribe to comments. Listing 2 below introduces a few new concepts:.

Copy or move the tarball to whatever directory you made above. Intel TBB is based on the concept of tasks.

That’s about it for tasks. The files are also available as syntax-highlighted HTML here fatals. Instead of applying a transformation on each individual array element, let’s say you want to sum up all the elements. We’re going to use x86’s high-resolution timers to find out how long the summing task runs single-threaded, so we’ll know how much speedup we’ve gained by processing in parallel.

Follow the instructions on the page https: Check that TBB works.

Intel® TBB Tutorial | Threading Building Blocks

Running the Example Binary Just invoke the binary with a single numeric argument the length of the array. It’s severely restricted in its usage; nonetheless, it’s quite effective if you want to create high-performance code. Instead, the container maintains a series of contiguous memory segments.