Parallel forms of algorithms for the computation of multipleweighted sums are obtained. Appropriate models of parallel-pipelinedVLSI array processors are synthesized. The number of processorelements are independent on the multiplicity of sums to becalculated. The asymptotic load of the array processors ...
Figure 39-5 Simple Padding Applied to Shared Memory Addresses Can Eliminate High-Degree Bank Conflicts During Tree-Based Algorithms Like ScanExample 39-3. Macro Used for Computing Bank-Conflict-Free Shared Memory Array IndicesCopy#define NUM_BANKS 16 #define LOG_NUM_BANKS 4 #define CONFLICT...
Parallel Computing Toolbox™ lets you solve compute- and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms—enable you to scale MATLAB®applications without CUDA®or ...
The Parallel Patterns Library (PPL) provides algorithms that concurrently perform work on collections of data. These algorithms resemble those provided by the C++ Standard Library. The parallel algorithms are composed from existing functionality in the Concurrency Runtime. For example, theconcurrency::par...
The parallel_for_each algorithm resembles the STL std::for_each algorithm, except that the parallel_for_each algorithm executes the tasks concurrently. Like other parallel algorithms, parallel_for_each does not execute the tasks in a specific order....
Parallel Computing Toolbox enables you to harness a multicore computer, GPU, cluster, grid, or cloud to solve computationally and data-intensive problems. The toolbox includes high-level APIs and parallel language for for-loops, queues, execution on CUDA
We have so far seen two simple algorithms that illustrate the basics of parallel programming quite well. The common way to think about parallel algorithms is to divide them into multiple steps, so that each step is executed independently for a large number of items (objects, array elements, et...
A disadvantage of both the second and third schemes is that the GPU's native trilinear filtering cannot be used for high-quality volume rendering of the data. Fortunately, alternate volume rendering algorithms can efficiently render high-quality, filtered images from these complex 3D...
We describe and experimentally compare four theoretically well-known algorithms for the parallel prefix operation (scan, in MPI terms), and give a presumably novel, doubly-pipelined implementation of the in-order binary tree parallel prefix algorithm. Bi
A parallel array processor for massively parallel applications is formed with low power CMOS with DRAM processing while incorporating processing elements on a single chip. Eight processors on a single