All of the algorithms are efficiently implemented on several shared memory parallel computers by performing all of the necessary matrix-vector multiplications on the element level. The result is a set of fast,
Our implementation first uses radix sort to sort individual chunks of the input array. Chunks are sorted in parallel by multiple thread blocks. Chunks are as large as can fit into the shared memory of a single multiprocessor on the GPU. After sorting the chunks, we use a parallel bitonic ...
Our implementation first uses radix sort to sort individual chunks of the input array. Chunks are sorted in parallel by multiple thread blocks. Chunks are as large as can fit into the shared memory of a single multiprocessor on the GPU. After sorting the chunks, we use a parallel biton...
First and foremost, fork/join tasks should operate as “pure” in-memory algorithms in which no I/O operations come into play. Also, communication between tasks through shared state should be avoided as much as possible, because that implies that locking might have to be performed. Ideally, ...
Semaphore— Semaphore, Shared Memory and IPC 简介 安装/配置 预定义常量 Semaphore 函数 Shared Memory 简介 安装/配置 预定义常量 范例 Shared Memory 函数 Sync 简介 安装/配置 预定义常量 SyncMutex— The SyncMutex class SyncSemaphore— The SyncSemaphore class SyncEvent— The SyncEvent class SyncReaderWri...
intel_bios_reader(1) intel_error_decode(1) intel_gpu_top(1) intel_gtt(1) intel_infoframes(1) intel_lid(1) intel_panel_fitter(1) intel_reg_dumper(1) intel_reg_read(1) intel_reg_write(1) intel_stepping(1) intel_upload_blit_large(1) intel_upload_blit_large_gtt(1) intel_upload_...
If you pass areferencetoan instance of a class that supportsoperator()as an argument to thetask_group::runmethod, you must make sure to manage the memory of the function object. The function object can safely be destroyed only after the task group object’swaitmethod returns. Lambda expressi...
There was a time when machines were forced to use tapes to process large amount of data, loading smaller chunks into memory one at a time. The merge-sort sorting algorithm for example, is suitable for this kind of processing. Today we have bigger memories, but also big-data. File-based ...
Our results indicate that not only memory requirements drop drastically, but that execution time also improves, compared to the original implementation. This allows more fine-grained, but also larger numbers of parallel tasks to be created. 1 Introduction Efficiency of parallel programming models has ...
The current implementation is basically trying to solve the issue of : How do we read a bunch of unbounded streams in parallel without consuming too much memory? But this is actually a bit over general for what we are actually trying to do. Our actual problem is ...