23%
24.09.2015
that is 80% parallelizable (20% is serial, primarily because of I/O). For one process, the wall clock time is assumed to be 1,000 seconds, which means that 200 seconds is the serial portion of the application
23%
27.09.2024
with up to 1,000 input/output operations per second (IOPS). Besides file shares, this type of account offers blob containers, queues, and tables as storage resources and supports locally redundant (LRS
23%
14.10.2019
= numpy.arange(1000, dtype='i')
comm.Send([data, MPI.INT], dest=1, tag=77)
elif rank == 1:
data = numpy.empty(1000, dtype='i')
comm.Recv([data, MPI.INT], source=0, tag=77)
# automatic MPI datatype
23%
19.06.2023
a = 100.0*np.random.random((N,N))
a.astype(np.float64)
print("a[5,5] = ",a[5,5]," type = ",a[5,5].dtype)
np.save('double', a)
b = np.copy(a)
b = b.astype(np.float32)
print("b[5,5] = ",b[5,5]," type = ",b[5
23%
05.02.2019
, revenue DECIMAL(11, 2)
05 , customer_class CHAR(1)
06 );
07
08 SQL> INSERT INTO customer
09 VALUES (1, 2016, 100.0), (2, 2016, 0.0), (3, 2016, 999.99);
10 SQL> INSERT INTO customer
11 VALUES (1, 2017, 500.0
23%
25.03.2021
of the Nginx web server, the ngx_http_v2_module module replaced its predecessor ngx_http_spdy_module in September 2015 (Nginx 1.9.5). April 2016 saw the module enter the stable branch (Nginx 1.10.0) [3
23%
18.07.2013
availability on request. In this way, all virtual servers can be centrally managed, whether they run locally or in the cloud.
SCVMM SP1 or newer supports the new VHDX disks in Hyper-V 3.0 and Windows Server
23%
14.03.2013
, the management network is 192.168.122.0/24, and all three nodes have a direct connection to this network via their eth0 network interfaces. Here, "Alice" has the IP address 192.168.122.111, "Bob" has 192
23%
07.03.2019
relative to the data values. For example, if the difference between two numbers is 100.0, but you are working with values of 10^8, then the difference (0.001%) might not be important. It’s really up
23%
12.09.2022
= np.random.rand(nx,ny)*100.0 # Random data in arrayy
np.save(filename, a) # Write data to file
print(" Just finished writing file, ",filename,".npy")
# end for
The code in Listing 2 reads the five files
