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30%
A ptrace-based tracing mechanism for syscalls
06.10.2022
Home »  Archive  »  2022  »  Issue 71: Kuber...  » 
Photo by Nadjib BR on Unsplash
, which is passed by the caller in CPU register rax on x86-64 machines [8]. Syscall arguments are passed in registers rdi , rsi , rdx , r10 , r8 , and r9 . The return value of the syscall is returned
30%
SMART Devices
14.08.2020
Home »  HPC  »  Articles  » 
Capability # smartctl -i /dev/sda smartctl 7.2 2020-07-11 r5076 [x86_64-linux-5.4.0-42-generic] (CircleCI) Copyright (C) 2002-20, Bruce Allen, Christian Franke, www.smartmontools.org === START
30%
SMART storage device monitoring
29.09.2020
Home »  Archive  »  2020  »  Issue 59: Custo...  » 
Lead Image © Sk Design, Fotolia.com
, use the -P show option (Listing 2). Listing 2 Device Details # smartctl -P show /dev/sda smartctl 7.2 2020-07-11 r5076 [x86_64-linux-5.4.0-42-generic] (CircleCI) Copyright (C) 2002-20
30%
When I/O workloads don't perform
02.08.2021
Home »  Archive  »  2021  »  Issue 64: Bare...  » 
Lead Image © Viacheslav Iakobchuk, 123RF.com
). Listing 4 smartctl on SAS Drive $ sudo smartctl -a /dev/sdc smartctl 7.1 2019-12-30 r5022 [x86_64-linux-5.4.0-66-generic] (local build) Copyright (C) 2002-19, Bruce Allen, Christian Franke, www
30%
Data Analysis with R and Python
17.02.2015
Home »  Archive  »  2015  »  Issue 25: Safe...  » 
Lead Image © mopic, 123RF.com
_axs", "period"], {"semaj_axs":{"$lt":100}}) 12 x_lab = "Semi-major axis / [AU]" 13 x_vals = ro.FloatVector([x**3 for x in rep.df.rx2(1)]) 14 15 y_lab = "Orbital Period / [Years]" 16 y_vals = ro.FloatVector([x**2
30%
When I/O Workloads Don’t Perform
12.05.2021
Home »  HPC  »  Articles  » 
.M.A.R.T.), you can use the smartmontools package and, again, more specifically, the smartctl binary (Listing 4). Listing 4: smartctl on SAS Drive $ sudo smartctl -a /dev/sdc smartctl 7.1 2019-12-30 r5022 [x86
30%
Lustre HPC distributed filesystem
07.04.2022
Home »  Archive  »  2022  »  Issue 68: Autom...  » 
Photo by Efe Kurnaz on Unsplash
,BROADCAST,RUNNING,MULTICAST> mtu 1460 inet 10.0.0.2 netmask 255.255.255.255 broadcast 0.0.0.0 inet6 fe80::bfd3:1a4b:f76b:872a prefixlen 64 scopeid 0x20 ether 42:01:0a:80:00:02 txqueuelen 1000
30%
Embarrassingly parallel computation
01.06.2024
Home »  Archive  »  2024  »  Issue 81: Load...  » 
Lead Image © Lucy Baldwin, 123RF.com
is 20x because only 95 percent of the algorithm can execute in parallel (compute the fraction 1/20 from that 5% number). That limitation led to a search for embarrassingly parallel algorithms
30%
Working with the Lustre Filesystem
24.02.2022
Home »  HPC  »  Articles  » 
.255.255.255  broadcast 0.0.0.0         inet6 fe80::bfd3:1a4b:f76b:872a  prefixlen 64  scopeid 0x20         ether 42:01:0a:80:00:02  txqueuelen 1000  (Ethernet)         RX packets 11919  bytes 61663030 (58.8 Mi
30%
mpi4py – high-performance distributed Python
30.11.2020
Home »  Archive  »  2020  »  Issue 60: Secur...  » 
Lead Image © liu liming, 123RF.com
): 11 12 s = 0.0 13 s += h * f(a) 14 for i in range(1, n): 15 s += 2.0 * h * f(a + i*h) 16 # end for 17 s += h * f(b) 18 return (s/2.) 19 # end def 20 21 22 # Main section 23 comm = MPI

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