Techniques for optimizing loop scheduling - O'Neil - 2002 () Citation Context ...BLE III COMPARISON OF SCHEDULES BEFORE AND AFTER PROCESSOR OPTIMIZATION Clock No. Processors Percent Period Before After Reduced Fig. 1(a) without unfolding Fig. 1(a) unfolded twice Figure 3.12(a) of =-=[23]...
In this article, we combine these procedures with our general adjoint-based optimization technique to provide a full closed-loop capability. This integrated set of algorithms is then applied to a realistic field case. Specifically, we describe the key computational procedures and highlight the ...
and machine learning-based optimization; Optimizing scientific applications on parallel hardware architectures; Compiler optimizations for graphics processor units (GPUs) or other programmable accelerators; Compiler techniques or loop transformations for optimizing memory hierarchy; Programming environments for GPU-...
I n my recent article on writing multithreaded applications (see "Concurrency: What Every Dev Must Know About Multithreaded Apps"), I outlined the basic principles of multithreaded programs, explained why most multithreaded programs are full of concurrency bugs (races), and illustrated a locking prot...
In design optimization of complex systems, the surrogate model approach relying on progressively enriched Design of Experiments (DOE) avoids efficiency problems encountered when embedding simulation codes within optimization loops. However, an efficient
MPROP was introduced with Encog 2.2, but will continue to be enhanced with future versions of Encog. Improvements will include further optimization of the end of iteration synchronization and moving as much of this synchronization code to the threads as possible. Also options will be added at some...
Virtual machine (VM) integration methods have effectively proven an optimized load balancing in cloud data centers. The main challenge with VM integration methods is the trade-off among cost effectiveness, quality of service, performance, optimal resourc
The elements or limits that should be considered the best execution with respect to the accuracy of the solution, the speed of convergence and the effectiveness, with the most elevated achievement rate, while supporting the FACTS devices optimization issue are explored. To take care of the FACTS ...
As a data-driven science, genomics largely utilizes machine learning to capture dependencies in data and derive novel biological hypotheses. However, the ability to extract new insights from the exponentially increasing volume of genomics data requires m
This gives compilers and hardware a lot of freedom to do optimization. They only have to respect the boundaries formed by locks and volatile accesses. For program fragments without locks or volatile use, optimizing compiles can do any optimization that is legal for a sequential program. It also...