27%
23.03.2022
13 2020 iozone3_490
31888630 -rw-rw-r--. 1 laytonjb laytonjb 4136960 Dec 9 2020 iozone3_490.tar
31984747 drwxrwxr-x 21 laytonjb laytonjb 4096 Nov 20 2020 Lmod-8.4.15
31863444 -rw-rw-r-- 1
27%
30.11.2020
runtime is surrounded by confusion and ambiguity. The CRI-O runtime [3] is an Open Container Initiative (OCI)-compliant container runtime. Both runC and Kata Containers are currently supported
27%
17.02.2015
168
(gdb) p j
$3 = 144
(gdb) c
Breakpoint 2, Calc_vacf () at MD.o.c:671
671 vacf[j-i]=0;
(gdb) p &j
$6 = (int *) 0xffffc168
(gdb) p j
$7 = 144
On the other hand, when dealing with the ELF
27%
06.10.2019
": executable file not found in $PATH
0a2091b63bc5de710238fadc68ba3f5e0f9af8800ec7f76fd52a84c49a1ab0a7
Listing 3 shows that I do have a working container, so I'll deal with the network namespace
error now
27%
01.06.2024
is considered "embarrassingly parallel" [3] where no design effort is required to partition the problem into completely separate parts. If no data dependency exists between the problem sub-parts, no communication
27%
16.01.2013
-east-1d
Keypair: foocluster
EBS volumes:
vol-4c048437 on master:/dev/sda (status: attached)
vol-4f048434 on node001:/dev/sda (status: attached)
Cluster nodes:
master running i-6a10c710 ec2
27%
10.04.2015
3
04 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1
05 +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
06 | Source Port
27%
17.02.2015
/json;charset=utf-8\n\r\n\r%s" %json.dumps(obj)
Lines 9 through 18 iterate against all entries of a database cursor, which the call to the find() method in line 9, generates from the queried data collection
27%
16.05.2013
,1000);
06
07 // Set host data on the Device (GPU)
08 dA = gpuSetData(A);
09 dC = gpuSetData(C);
10
11 d1 = gpuMult(A,B);
12 d2 = gpuMult(dA,dC);
13 d3 = gpuMult(d1,d2);
14 result = gpuGetData(d3); // Get
27%
13.10.2020
You ha
ve parallelized your serial application
,
but as you use more cores you are
n
o
t seeing any improvement
in performance
. What gives?
... the asymptote is the inverse of the serial portion of the code, which controls the scalability of the application
. In this example, p
= 0.8 and (1 – p
) = 0.2, so the asymptotic value is a
= 5.
Further ...
You
ha
ve parallelized your serial application
,
but as you use more cores you are
n
o
t seeing any improvement
in performance
. What gives?