parallel-processing

问题 I saw a question while I was studying for OCCAM and CSP ( Communicating Sequential Processes ). I found some basic answers like; they both for parallel programming, they get input with question mark(?), send output with exclamation mark(!). But I want to find out more technical details about their common features. 回答1: On CSP Hoare's CSP was completed during 1979 ~ 1984, when his Book on CSP ( today having some 260+ pages ) was first published in 1985. This final version of CSP also includes

问题 I saw a question while I was studying for OCCAM and CSP ( Communicating Sequential Processes ). I found some basic answers like; they both for parallel programming, they get input with question mark(?), send output with exclamation mark(!). But I want to find out more technical details about their common features. 回答1: On CSP Hoare's CSP was completed during 1979 ~ 1984, when his Book on CSP ( today having some 260+ pages ) was first published in 1985. This final version of CSP also includes

问题 I have a an API written in typescript and I try to run parallel queries for same document by using promise.allsettled however it performs worse and I guess they run sequentially. Is there a way to perform parallel queries on the same document in the same connection for mongoDB. here is the code: console.time("normal"); let normal = await ContentRepo.geBySkillIdWithSourceFiltered( [chosenSkillsArr[0].sid!], readContentIds, body.isVideoIncluded, true, true ); console.timeEnd("normal"); console

问题 I have a an API written in typescript and I try to run parallel queries for same document by using promise.allsettled however it performs worse and I guess they run sequentially. Is there a way to perform parallel queries on the same document in the same connection for mongoDB. here is the code: console.time("normal"); let normal = await ContentRepo.geBySkillIdWithSourceFiltered( [chosenSkillsArr[0].sid!], readContentIds, body.isVideoIncluded, true, true ); console.timeEnd("normal"); console

问题 Consider the following tensorflow code snippet: import time import numpy as np import tensorflow as tf def fn(i): # do some junk work for _ in range(100): i ** 2 return i n = 1000 n_jobs = 8 stuff = np.arange(1, n + 1) eager = False t0 = time.time() if eager: tf.enable_eager_execution() res = tf.map_fn(fn, stuff, parallel_iterations=n_jobs) if not eager: with tf.Session() as sess: res = sess.run(res) print(sum(res)) else: print(sum(res)) dt = time.time() - t0 print("(eager=%s) Took %ims" %

问题 Consider the following tensorflow code snippet: import time import numpy as np import tensorflow as tf def fn(i): # do some junk work for _ in range(100): i ** 2 return i n = 1000 n_jobs = 8 stuff = np.arange(1, n + 1) eager = False t0 = time.time() if eager: tf.enable_eager_execution() res = tf.map_fn(fn, stuff, parallel_iterations=n_jobs) if not eager: with tf.Session() as sess: res = sess.run(res) print(sum(res)) else: print(sum(res)) dt = time.time() - t0 print("(eager=%s) Took %ims" %

问题 I have an azure app on the cloud with a sql azure database. I have a worker role which needs to do parsing+processing on a file (up to ~30 million rows) so i can't directly use BCP or SSIS. I'm currently using SqlBulkCopy, however this seems too slow as I've seen load times of up to 4-5 minutes for 400k rows. I want to run my bulk inserts in parallel; however reading through the articles on importing data in parallel/controlling lock behaviour, it says that SqlBulkCopy requires that the table

问题 Where can I find an serial C/C++ implementation of the k-nearest neighbour algorithm? Do you know of any library that has this? I have found openCV but the implementation is already parallel. I want to start from a serial implementation and parallelize it with pthreads openMP and MPI. Thanks, Alex 回答1: How about ANN? http://www.cs.umd.edu/~mount/ANN/. I have once used the kdtree implementation, but there are other options. Quoting from the website: "ANN is a library written in C++, which

问题 I am cloning VMs on ESX server from template. Simplified code looks like this: Workflow Create-VM { $List = 1..500 foreach -parallel ($Elem in $List) { # Create VM ... # Configure created VM .. } } Create-VM Parallel execution is really helpful. Unfortunately in this case doesn't work pretty well. Too many parallel request are generated. I need to limit number of parallel execution to smaller number (for example 4). I was trying to change local Session Configuration (SessionThrottleLimit,

问题 Is memcached capable of making full use of multi-core? Or is there any way tuning this? 回答1: memcached is multi-threaded by default and has no problem saturating many cores. It's a bit harder to saturate all cores on more massively parallel boxes (e.g. a 256-core CMT box) just because it gets harder to get the data in and out of the network. If you find areas where some sort of contention is preventing you from saturating cores, file a bug or start a discussion. 回答2: memcached has "-t" option