Intel(R) Core(TM) i5-6400 CPU @ 2.70GHz FreeBSD 13.1-RELEASE TITAN RTX MATE を起動 510.60.02.nvidia-smi lscpu lstopo coretempをADATA SX8200PNPに設定してみた

root@freebsd:~ # uname -a
FreeBSD freebsd 13.1-RELEASE FreeBSD 13.1-RELEASE releng/13.1-n250148-fc952ac2212 GENERIC amd64
root@freebsd:~ # sysctl hw.model
hw.model: Intel(R) Core(TM) i5-6400 CPU @ 2.70GHz
root@freebsd:~ # php -v
PHP 8.1.7 (cli) (built: Aug 11 2022 06:15:25) (NTS)
Copyright (c) The PHP Group
Zend Engine v4.1.7, Copyright (c) Zend Technologies
root@freebsd:~ # curl -V
curl 7.84.0 (amd64-portbld-freebsd13.0) libcurl/7.84.0 OpenSSL/1.1.1o zlib/1.2.12 libpsl/0.21.1 (+libidn2/2.3.2) libssh2/1.10.0 nghttp2/1.48.0
Release-Date: 2022-06-27
Protocols: dict file ftp ftps gopher gophers http https imap imaps pop3 pop3s rtsp scp sftp smtp smtps telnet tftp
Features: alt-svc AsynchDNS GSS-API HSTS HTTP2 HTTPS-proxy IPv6 Kerberos Largefile libz NTLM NTLM_WB PSL SPNEGO SSL threadsafe TLS-SRP UnixSockets
root@freebsd:~ # kldload coretemp
root@freebsd:~ # sysctl dev.cpu|grep temperature
dev.cpu.3.temperature: 36.0C
dev.cpu.2.temperature: 35.0C
dev.cpu.1.temperature: 38.0C
dev.cpu.0.temperature: 36.0C
root@freebsd:~ # sysctl hw.physmem
hw.physmem: 17069387776
root@freebsd:~ # sysctl hw | grep mem
hw.physmem: 17069387776
hw.usermem: 16433434624
hw.realmem: 17179869184
hw.pci.host_mem_start: 2147483648
hw.cbb.start_memory: 2281701376
root@freebsd:~ # nvmecontrol devlist
nvme0: ADATA SX8200PNP
nvme0ns1 (244198MB)
root@freebsd:~ # lscpu
Architecture: amd64
Byte Order: Little Endian
Total CPU(s): 4
Thread(s) per core: 1
Core(s) per socket: 4
Socket(s): 1
Vendor: GenuineIntel
CPU family: 6
Model: 94
Model name: Intel(R) Core(TM) i5-6400 CPU @ 2.70GHz
Stepping: 3
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 6M
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 cflsh ds acpi mmx fxsr sse sse2 ss htt tm pbe sse3 pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline aes xsave osxsave avx f16c rdrnd fsgsbase tsc_adjust sgx bmi1 avx2 smep bmi2 erms invpcid fpcsds mpx rdseed adx smap clflushopt intel_pt syscall nx pdpe1gb rdtscp lm lahf_lm lzcnt
root@freebsd:~ # lstopo
Machine (16GB)
Package L#0 + L3 L#0 (6144KB)
L2 L#0 (256KB) + L1d L#0 (32KB) + L1i L#0 (32KB) + Core L#0 + PU L#0 (P#0)
L2 L#1 (256KB) + L1d L#1 (32KB) + L1i L#1 (32KB) + Core L#1 + PU L#1 (P#1)
L2 L#2 (256KB) + L1d L#2 (32KB) + L1i L#2 (32KB) + Core L#2 + PU L#2 (P#2)
L2 L#3 (256KB) + L1d L#3 (32KB) + L1i L#3 (32KB) + Core L#3 + PU L#3 (P#3)
HostBridge L#0
PCIBridge
PCI 10de:1e02
PCI 8086:a102
PCIBridge
PCI 1cc1:8201
PCI 8086:15b8
root@freebsd:~ #
Intel(R) Core(TM) i5-6400 CPU @ 2.70GHz FreeBSD 13.1-RELEASE TITAN RTX MATE 510.60.02.nvidia-smi lscpu lstopo coretempをADATA SX8200PNPに設定してみた

カテゴリー: freebsd, nvidia | コメントする

Ubuntu16.04 TITAN V x2 GTX1080Ti x2 Luxmark-v3.1 Benchmark を動作させてみた144586

chibi@1604:~$ cd luxmark-v3.1
chibi@1604:~/luxmark-v3.1$ ls
lib luxmark luxmark.bin scenes slg4
chibi@1604:~/luxmark-v3.1$ ./luxmark

■TITAN V x2 GTX1080Ti x2 合算スコア 144586
参考サイト

カテゴリー: nvidia, ubuntu | コメントする

Ubuntu18.04 TITAN Vx2 RTX2080Tix2 CUDA 10.0 Luxmark-3.1 benchmarkを動作させてみた186656

chibi@1804:~$ cat /etc/os-release
NAME=”Ubuntu”
VERSION=”18.04.1 LTS (Bionic Beaver)”
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME=”Ubuntu 18.04.1 LTS”
VERSION_ID=”18.04″
HOME_URL=”https://www.ubuntu.com/”
SUPPORT_URL=”https://help.ubuntu.com/”
BUG_REPORT_URL=”https://bugs.launchpad.net/ubuntu/”
PRIVACY_POLICY_URL=”https://www.ubuntu.com/legal/terms-and-policies/privacy-policy”
VERSION_CODENAME=bionic
UBUNTU_CODENAME=bionic
chibi@1804:~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130
chibi@1804:~$ cd luxmark-v3.1
chibi@1804:~/luxmark-v3.1$ ls
lib luxmark luxmark.bin scenes slg4
chibi@1804:~/luxmark-v3.1$ ./luxmark

■TITAN Vx2 RTX2080Tix2 合算スコア186656
GPU nvidia-smi sensors
Ubuntu18.04 TITAN Vx2 RTX2080Tix2 CUDA 10.0 Luxmark-3.1 nvidia-smi sensors

カテゴリー: nvidia, ubuntu | コメントする

Kernel 6.0-rc6 が公開

Kernel 6.0-rc6 が公開されました。ReleaseNoteはこちらです。

カテゴリー: Linux | コメントする

AMD EPYC 7542 2.9MHZ 32-Core Processor 128GB RedHat Enterprise Linux 9.0 RTX2080Ti y-cruncher v0.7.8.9507-static CUDA 11.7 円周率Pi 100億桁のBenchMarkをAMD EPYC 2.5MHZ 7502 32-Core Processorと比較して動作させてみた 197.394 sconds

←小さいほど短時間
円周率Piの100億桁でのBenchmark (seconds) AMD EPYC 7542 2.9MHZ 32-Core AMD EPYC 2.5MHZ 7502 32-Core

AMD EPYC 7542 2.9MHZ 32-Core Processor 円周率Pi 100億桁のBenchMark 197.394 sconds データ詳細
AMD EPYC 7542 32-Core Processor 128GB Red Hat Enterprise Linux release 9.0 y-cruncher v0.7.8.9507 RTX2080Ti CUDA 11.7 Pi 197.394 seconds ( 3.290 minutes ) 10,000,000,000

カテゴリー: nvidia, rhel9 | コメントする