My server cpu is Intel(R) Xeon(R) Silver 4214 CPU # 2.20GHz The detail
I wonder why this CPU support TEE but don't support Intel SGX? whta's the point? is there any way I can install SGX by myself or run SGX program on this server?
Your CPU supports TXT (Trusted Execution Technology), not TEE (Trusted execution environment).
TXT is a different technology. You can read it up here.
Related
I purchased a acer nitro ryzen 5 laptop with Radeon RX 560X GPU mainly for some GPU computing tasks with opencl. However, I am unable to install the drivers from amd website which are available for ubuntu 18.04.
Here is the config
$sudo lspci -nn | grep -E 'VGA|Display'
01:00.0 Display controller [0380]: Advanced Micro Devices, Inc. [AMD/ATI]
Baffin [Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X] [1002:67ef] (rev c0)
04:00.0 VGA compatible controller [0300]: Advanced Micro Devices, Inc. [AMD/ATI] Raven Ridge [Radeon Vega Series / Radeon Vega Mobile Series] [1002:15dd] (rev c4)
I downloaded the drivers from amd website. There is a similar thread here. But no solution is given. Now I am also facing the same unmet dependencies issue discussed in the link given. How can i go about using opencl with tensorflow now?
Ok i have installed the drivers successfully including the ones for opencl. But now when i run clinfo in terminal it is showing ERROR: clGetPlatformIDs(-1001)
I built a simple Beowulf cluster with one master and 4 nodes (total of 128 cores) following this tutorial.
https://www.youtube.com/watch?v=gvR1eQyxS9I
I was successful to run a "Hello World" program by allocating some cores of my cluster. This is what i used:
$ mpiexec -n 64 -f hosts ./mpi_hello
Now, i know how to run a multithread program, I would like to allocate some memory. I am planning to do some data analysis.
Each nodes have 16GB of ram. How can I allocate 32GB or 64GB of ram for data analysis?
Thank you very much for your help.
I am trying to run r script on a GPU server provided by the institute.
Specifications of GPU server are as follows:
Host Name: gpu01.cc.iitk.ac.in,
Configuration: Four Tesla T10 GPUs added to each machine with 8 cores in each
Operating System: Linux
Specific Usage: Parallel Programming under Linux using CUDA with C Language
R code:
setwd("~/Documents/tm dataset")
library(ssh)
session <- ssh_connect("dgaurav#gpu01.cc.iitk.ac.in")
print(session)
out <- ssh_exec_wait(session, command = 'articles1_test.R')
Error:
ksh: articles1_test.R: not found
Your dataset and script are only on local machine... you nneed to cooy the to remote server before you can run them.
I'm using Microsoft R Open on a GCE instance that has two vCPUs. Here are its specs.
$ lscpu
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 2
On-line CPU(s) list: 0,1
Thread(s) per core: 2
Core(s) per socket: 1
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 63
Model name: Intel(R) Xeon(R) CPU # 2.30GHz
Stepping: 0
CPU MHz: 2300.000
BogoMIPS: 4600.00
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 46080K
NUMA node0 CPU(s): 0,1
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush
mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc
eagerfpu pni pclmulqdq ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hyp
ervisor lahf_lm abm fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms xsaveopt
Even though I have two cores, Microsoft R Open seems to recognize only one of them, so I'm not taking full advantage of my computing capacity. I can't set the numbers of threads manually either.
Microsoft R Open 3.3.2
The enhanced R distribution from Microsoft
Microsoft packages Copyright (C) 2016 Microsoft Corporation
Using the Intel MKL for parallel mathematical computing(using 1 cores).
Default CRAN mirror snapshot taken on 2016-11-01.
See: https://mran.microsoft.com/.
> getMKLthreads()
[1] 1
> setMKLthreads(2)
Number of threads at maximum: no change has been made.
Here's a graph showing CPU usage. It never uses more than 50% of CPU power.
So, what should I do so I can use all my cores with MRO?
you are running Xeon which is hyper threaded . You have 1 cpu with hyper threading,the os treats it as 2 cpus but there is only one physical cpu. MRO uses the physical cores only(without hyper threading)
You can use this:
library(doParallel)
no_cores <- detectCores() - 1
registerDoParallel(cores=no_cores)
It will one core less than the actual cores you have. It leaves one core for OS operations. Try it out.
Do you know if there is a UNIX command that will tell me what the CPU configuration for my Sun OS UNIX machine is? I am also trying to determine the memory configuration. Is there a UNIX command that will tell me that?
There is no standard Unix command, AFAIK. I haven't used Sun OS, but on Linux, you can use this:
cat /proc/cpuinfo
Sorry that it is Linux, not Sun OS. There is probably something similar though for Sun OS.
The nproc command shows the number of processing units available:
$ nproc
Sample outputs: 4
lscpu gathers CPU architecture information form /proc/cpuinfon in human-read-able format:
$ lscpu
Sample outputs:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Thread(s) per core: 1
Core(s) per socket: 4
CPU socket(s): 2
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 15
Stepping: 7
CPU MHz: 1866.669
BogoMIPS: 3732.83
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 4096K
NUMA node0 CPU(s): 0-7
Try psrinfo to find the processor type and the number of physical processors installed on the system.
Firstly, it probably depends which version of Solaris you're running, but also what hardware you have.
On SPARC at least, you have psrinfo to show you processor information, which run on its own will show you the number of CPUs the machine sees. psrinfo -p shows you the number of physical processors installed. From that you can deduce the number of threads/cores per physical processors.
prtdiag will display a fair bit of info about the hardware in your machine. It looks like on a V240 you do get memory channel info from prtdiag, but you don't on a T2000. I guess that's an architecture issue between UltraSPARC IIIi and UltraSPARC T1.
I think you can use prtdiag or prtconf on many UNIXs
My favorite is to look at the boot messages. If it's been recently booted try running /etc/dmesg. Otherwise find the boot messages, logged in /var/adm or some place in /var.