We discuss automatic parallelization techniques that take a sequential program as input and produce executable code for massively parallel distributed memory machines. Target programming style is SPMD dataparallel. Target language is High Performance Fortran. We review the whole design trajectory: data depen...
Data-Parallel C++ (DPC++) is an open-source compiler project based on C++. It includes portable industry standards such as the SYCL Standards from the Khronos Group, as well as supporting extensions from the community. In more simple terms, DPC++ is a high-level language designed for data-...
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This low latency is especially important in safety-critical applications like advanced driver assistance systems (ADAS), where every second counts. Scalability. Writing an algorithm to process a problem is challenging. Taking this algorithm and parallelizing it along multiple cores for more processing ...
they can only be mitigated. For example, the 15-minute execution time limit and the 10 GB limit on configurable memory and vCPUs can both be mitigated by parallelizing workloads. Similarly, one way to mitigate Lambda's debugging limitations is to use self-service tools that allow debugging of...
Removed control coupling inbasic_string, which was difficult for the compiler optimizer to analyze. For all short strings, callingreservestill has a nonzero cost to do nothing. std::vectorwas overhauled for correctness and performance: aliasing during insert and emplace operations is now correctly ...
Numba was conceived as a much simpler alternative to Cython. One of its most appealing traits is that it doesn’t require learning a new syntax, replacing the Python interpreter, running a separate compilation step, or having a C/C++ compiler installed. Just applying the@jitNumba decorator to...
whether it be client applications doing background processing while keeping the UI responsive, services handling thousands upon thousands of simultaneous requests, devices responding to a multitude of simultaneous stimuli, or high-powered machines parallelizing the processing of compute-intensive operations....
Generic (Polymorphic) Lambda ExpressionsLambda function parameter types can now be specified using auto; the compiler interprets auto in this context to mean that the closure's function call operator is a member function template and that each use of auto in the lambda expression corresponds to a...
Parallelizing development has serious and sometimes fatal consequences. The main problem is that the pieces are usually coupled in some way. There are techniques for lowering coupling between “bricks,” but when you set out to place two related bricks simultaneously, you must, perforce, do some...