2012: Grape Hyacinth
2012: Striped Squill
2012: White Geese
2012: Moose Crossing
2012: Power House Falls
2012: Sand Hill Crane
2012: Crocus
2012: God Doesnt Play Dice
2012: Eben Ice Caves
Rocks 5.4.2 – HPCC 1.4.1 benchmark with GCC 4.1.2
Disclaimer
The instructions/steps given below worked for me (and Michigan Technological University) running Rocks 5.4.2 (with CentOS 5.5) – as has been a common practice for several years now, a full version of Operating System was installed. These instructions may very well work for you (or your institution), on Rocks-like or other linux clusters. Please note that if you decide to use these instructions on your machine, you are doing so entirely at your very own discretion and that neither this site, sgowtham.com, nor its author (or Michigan Technological University) is responsible for any/all damage – intellectual and/or otherwise.
Continue reading … “Rocks 5.4.2 – HPCC 1.4.1 benchmark with GCC 4.1.2”
Rocks 5.4.2 – HPL 2.0 benchmark with GCC 4.1.2
Disclaimer
The instructions/steps given below worked for me (and Michigan Technological University) running Rocks 5.4.2 (with CentOS 5.5) – as has been a common practice for several years now, a full version of Operating System was installed. These instructions may very well work for you (or your institution), on Rocks-like or other linux clusters. Please note that if you decide to use these instructions on your machine, you are doing so entirely at your very own discretion and that neither this site, sgowtham.com, nor its author (or Michigan Technological University) is responsible for any/all damage – intellectual and/or otherwise.
Continue reading … “Rocks 5.4.2 – HPL 2.0 benchmark with GCC 4.1.2”
Rocks 5.4.2 – Ganglia’s gmond Python module for monitoring NVIDIA GPU
Disclaimer
The instructions/steps given below worked for me (and Michigan Technological University) running Rocks 5.4.2 (with CentOS 5.5) – as has been a common practice for several years now, a full version of Operating System was installed. These instructions may very well work for you (or your institution), on Rocks-like or other linux clusters. Please note that if you decide to use these instructions on your machine, you are doing so entirely at your very own discretion and that neither this site, sgowtham.com, nor its author (or Michigan Technological University) is responsible for any/all damage – intellectual and/or otherwise.
Continue reading … “Rocks 5.4.2 – Ganglia’s gmond Python module for monitoring NVIDIA GPU”
CUDA/C – Hello, World!
Disclaimer
The instructions/steps/programs given below worked for me (and Michigan Technological University) running site licensed Red Hat Enterprise Linux 6.2, with NVIDIA CUDA SDK 4.1.28, NVIDIA GPU Driver v290.10 & two NVIDIA GeForce GTX 570 cards – as has been a common practice for several years now, a full version of Operating System was installed and all necessary patches/upgrades have been applied. These instructions may very well work for you (or your institution), on Red Hat-like or other linux distributions. Please note that if you decide to use these instructions on your machine, you are doing so entirely at your very own discretion and that neither this site, sgowtham.com, nor its author (or Michigan Technological University) is responsible for any/all damage – intellectual and/or otherwise.
RHEL 6.2 – Ganglia’s gmond Python module for monitoring NVIDIA GPU
Disclaimer
The instructions/steps given below worked for me (and Michigan Technological University) running site licensed Red Hat Enterprise Linux 6.2 – as has been a common practice for several years now, a full version of Operating System was installed and all necessary patches/upgrades have been applied. These instructions may very well work for you (or your institution), on Red Hat-like or other linux distributions. Please note that if you decide to use these instructions on your machine, you are doing so entirely at your very own discretion and that neither this site, sgowtham.com, nor its author (or Michigan Technological University) is responsible for any/all damage – intellectual and/or otherwise.
Continue reading … “RHEL 6.2 – Ganglia’s gmond Python module for monitoring NVIDIA GPU”