Re: CVS: cvs.openbsd.org: ports

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Re: CVS: cvs.openbsd.org: ports

Rajneesh Shetty-3
would obsd 4.9  work ok on the attached specifications?

please advise if
anyone has tried it so far. this one is a "notebook".

they have an athlon
version as well which is a "netbook", but i'am not too sure i want to try that
one for bsd yet...

 
tel :  +61402 350 315
Rajneesh N. Shetty
>________________________________
>From: Antoine Jacoutot
<[hidden email]>
>To: [hidden email]
>Sent: Sunday,
17 July 2011 4:35 PM
>Subject: CVS: cvs.openbsd.org: ports
>
>CVSROOT:    /cvs
>Module name:    ports
>Changes by:    [hidden email]    2011/07/17
00:35:42
>
>Modified files:
>    x11/vlc        : Makefile
>Added files:
>  
x11/vlc/patches: patch-modules_demux_avi_libavi_c
>
>Log message:
>SECURITY:
fix heap-based buffer overflow. CVE-2011-2588.
>
>from Brad (maintainer)

[demime 1.01d removed an attachment of type application/pdf which had a name of TL120 Series_VXL.pdf]

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Re: CVS: cvs.openbsd.org: ports

Nico Kadel-Garcia-2
On Sun, Jul 17, 2011 at 2:55 AM, Rajneesh N. Shetty
<[hidden email]> wrote:
> would obsd 4.9  work ok on the attached specifications?
>
> please advise if
> anyone has tried it so far. this one is a "notebook".
>
> they have an athlon
> version as well which is a "netbook", but i'am not too sure i want to try
that
> one for bsd yet...

[ text snipped ]

>
> [demime 1.01d removed an attachment of type application/pdf which had a name
of TL120 Series_VXL.pdf]

Looks like your PDF got snipped. Perhaps you can publish a URL instead?

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Re: CVS: cvs.openbsd.org: ports

LeviaComm Networks NOC
On 17-Jul-11 00:18, Nico Kadel-Garcia wrote:

> On Sun, Jul 17, 2011 at 2:55 AM, Rajneesh N. Shetty
> <[hidden email]>  wrote:
>> would obsd 4.9  work ok on the attached specifications?
>>
>> please advise if
>> anyone has tried it so far. this one is a "notebook".
>>
>> they have an athlon
>> version as well which is a "netbook", but i'am not too sure i want to try
> that
>> one for bsd yet...
>
> [ text snipped ]
>
>>
>> [demime 1.01d removed an attachment of type application/pdf which had a name
> of TL120 Series_VXL.pdf]
>
> Looks like your PDF got snipped. Perhaps you can publish a URL instead?
>
Or better yet, a dmesg.

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Re: CVS: cvs.openbsd.org: ports

Rajneesh Shetty-3
In reply to this post by Nico Kadel-Garcia-2
thanks nico, the url is
@:http://vxl.net/Products/products.aspx?CategoryID=Nw==-ejXBZi/4MdY=&SubCateg
oryID=MTE=-DHKo1OyF9dE=&ProductID=NjQ%3d-v%2b1AeSBY%2bCg%3d

the write up i
found when looking up compatibility is as follows....


Monday, November 01
2010
Using Parallel Processing on GPUs to Accelerate Finite-Difference
Time-Domain Algorithms for Electromagnetic and Seismic Apps...
B
Many
scientific, technical and engineering applications in finance,  medical
imaging, modeling,
simulation, and image processing can benefit  greatly from
the floating
point acceleration offered by modern general  purpose graphics
processing units (GPGPU). Todaybs graphics processors  have evolved into
sophisticated, massively-parallel, highly-programmable  compute engines
ideally suited for algorithms with a high degree of  data parallelism.
Combined with modern parallel programming languages  and application
interfaces such as industry standard OpenCLb", GPGPU  offers a new
paradigm
for high-performance computing (HPC).
B
Figure 1. ATI Radeon HD 5870 GPU
Architecture
In this article we plan to examine the use of GPGPU to accelerate
iterative, grid-based, finite-difference methods used extensively in HPC
applications. Finite-Difference Time-Domain (FDTD) solvers are used to model
electromagnetic wave propagation. Velocity-stress  
finite-difference
time-domain (VS-FDTD) solvers are used to model  
acoustic wave propagation in
seismic applications. Both algorithms are  
ported to the ATI Radeonb" HD
5870 and ATI Radeonb" HD 5970 GPU  
co-processors and benchmarked against a
CPU implementation. Letbs start  with an overview of the ATI Radeon HD 5870
GPU.
ATI Radeon HD 5870 Graphics Processor
Overview: The ATI Radeon HD 5870
GPU is a high-performance graphics processor  
delivering 2.72 teraFLOPS
(peak) single precision floating point  
performance, at 14.47 gigaFLOPS/
Watt. The GPU supports the OpenCL 1.0  
API and complies with the IEEE
754-2008 floating point arithmetic  
standard. Configured with 1 GByte of
GDDR5 memory, the GPU supports 153  GBytes/sec of memory bandwidth to local
memory. Communication with a  
host CPU is via the x16 PCI ExpressB. 2.0 bus.
B
Architecture: For GPGPU applications, key functional blocks include the 20
single-instruction, multiple-data (SIMD) engines, thread dispatch
controller, memory controller, instruction / constant / memory caches  
and 64
Kbytes of global memory (Figure 1). Each of the SIMD engines  
contain an
array of 80 stream processor elements (PEs), a 32 KByte local data store, a
fetch unit with control logic and an 8 KByte L1 cache.  
Each SIMD engine is
able to run its own instruction threads.  
Communication with other SIMDs is
through the 64 KByte global memory. To maximize computation throughput and
hide memory latency, the  
ultra-threaded dispatch processor launches
multiple, simultaneous thread contexts. Memory bandwidth is optimized by four
memory controllers  
connected to four 128 KByte L2 caches that coalesce
memory reads and  
writes to drive the external 256-bit wide memory bus.
B
B
Each SIMD engine contains 80 stream PEs organized into 16 thread  
processors.
Each thread processor consists of 5 PEs, a branch unit and  
general purpose
registers. The 5 PEs include 4 32-bit general purpose  
floating point
multiply and add units and 1 special purpose unit to  
support floating point
multiply, add, and transcendental functions.
Performance: Using the GPGPU
Computational Performance benchmark from SiSoftware  
Sandra 2010, the ATI
Radeon HD 5870 GPU scores 1820 Mpixels/s.[a]  
SiSoftware Sandra calculates
the Mandelbrot set using OpenCL.B B B  
Benchmarking with ComputeMark, the
ATI Radeon HD 5870 GPU scores
2212.[b]  ComputeMark is a DirectXB. 11 Shader
Compute benchmark and is
well  suited to measure GPGPU performance, as it is
capable of utilizing 99%  of GPGPU resources.
B
Processor Performance
Benchmarks
OpenCL: The Open Computing Language, or OpenCL, is the open
standard for  
parallel programming of GPGPUs and multi-core CPUs. OpenCL
provides for a portable and a high-performance framework for the development
of cross platform and vendor independent applications. An OpenCL application
is partitioned into two primary components comprised of one or more
computational kernels that are executed on the compute devices, and a  
host
program that coordinates the asynchronous execution of the kernels  and
manages the movement of data to distributed memory resources.
GPGPU
Implementation of Finite-Difference Time-Domain Solvers
Finite-Difference
Time-Domain Methods: Finite-Difference Time-Domain (FDTD) methods are used to
iteratively  
solve time-dependent partial differential equations by
discretizing the  equations and representing the solution on a spatial grid.
The solution is evolved in time using an iterative time-stepping algorithm. An
important feature of FDTD algorithms is the use of a local stencil so  
that
the solution at any point in the grid is dependent upon the values  of
neighboring grid points. FDTD methods are used in many fields of  
scientific
modeling and simulation and form the basic computational  
kernel upon which
many software packages are built.
Electromagnetics: The FDTD method is used in
computational electromagnetics where the
time-dependent relationship  between
electric and magnetic field
components is governed by Maxwellbs  equations,
B
B
Using the FDTD method [1], the  electric (E) and magnetic (H) field
vectors
are represented on  staggered-grids and the solution is generated by
updating E and H using a  leap-frog algorithm that approximates the
time-dependent solution  through small discrete time-steps. The result
is a
time-varying solution  that describes the propagation of
electromagnetic
waves. The FDTD  method for electromagnetics is used for modeling and
simulation in  military and commercial applications
ranging from radar to
radio  communications.
Seismic: The FDTD method is also used to model seismic
wave propagation governed by the elastic wave equation,
B
The time-dependent
solution  describes the propagation of acoustic waves in an elastic medium.
The  solution for the particle velocity vector (N=)
and stress tensor (O) is
represented on staggered-grids similar to
those used in computational
electro-magnetics. The Velocity-Stress FDTD (VS-FDTD) method [2]  is an
important algorithm used in seismic forward modeling with  applications to oil
and gas exploration and also
military applications  for detecting buried
structures.
B
GPU Implementation: The basic FDTD algorithm is  implemented
using OpenCL targeting the ATI Radeon HD 5870 and ATI Radeon  HD 5970 GPU
co-processors. The E and H
vector fields are represented on
three-dimensional spatial grids and
iteratively updated using local  stencil
operations that approximate the derivatives in the governing  equations. The
FDTD algorithm exhibits a
low ratio of computation to  memory access making
data flow the primary
consideration. The E and H  vector fields are stored in
separate arrays, with the vector components  interlaced in stripes along the
fastest
index. The grids are re-ordered  along the fastest index to optimize
the use of SIMD operations on the  GPU by aligning values used in non-local
stencil operations. The updates  for E and H are performed using
separate
OpenCL kernels executed in  succession to approximate the
time-evolution of
the quantities over  discrete time-steps.
The
GPU implementation of the
VS-FDTD  algorithm for seismic wave
propagation has a similar structure, but
differs in two ways. First,
the amount of data represented per grid  point is
greater since the
model is comprised of a vector and symmetric  tensor field
(3+6
components) as compared with the two vector fields  (3+3 components)
used for electromagnetics. Furthermore, the seismic  application uses
more
spatially dependent physical parameters. Second,  the complexity of the
computation of the updates is slightly more  complex for VS-FDTD.
In order to
utilize the dual GPUs on the ATI  Radeon HD 5970, steps are
introduced to
exchange the edges of the  sub-grids over which the
simulation is
distributed. The algorithm  performs two iterative updates of each quantity
and then exchanges edges  sufficient to join the
sub-grids. This technique
can be extended to  larger simulations
utilizing additional GPUs per node or
multiple nodes,  where the latter
case would require the use of MPI for
inter-node  communication.
Figure 2 illustrates the resulting electromagnetic
(top) and seismic (bottom) simulations obtained by executing the FDTD  and
VS-FDTD algorithms on
the ATI Radeon HD 5870 and ATI Radeon HD 5970  GPUs
respectively.
B
B
Performance: Benchmarks were  performed for both FDTD and
VS-FDTD algorithms using
an ATI Radeon HD  5870 GPU and ATI Radeon HD 5970
GPU, along with a
standard C  implementation targeting a CPU as a reference
(Table).[c]
The  multi-core performance was extrapolated from results for a
single
core  implementation on a hexacore processor, which places an upper
bound on  performance that is unlikely to be achieved with six (6) cores
competing  for resources. Performance is reported in terms of the time
per
iterative update normalized to a million-point grid.
B
Conclusions
B
The
results demonstrate that these algorithms can  be accelerated using an
OpenCL
implementation targeting GPUs. Relative  performance between the
GPU and CPU
is very similar for both algorithms,  with the seismic
VS-FDTD showing
slightly better acceleration due to  the increased
computational complexity.
For the electromagnetic FDTD and  seismic
VS-FDTD algorithms, the
acceleration using a single-GPU ATI  Radeon HD
5870 is 2.9x and 3.2x,
respectively. The acceleration factors  are
increased to 3.7x and 4.2x,
respectively, for the dual-GPU ATI  Radeon
HD 5970, where the additional
overhead of swapping edges between  
sub-grids and the reduced clocks prevents
perfect scaling.
This article was written by David Richie, Ph.D., President,
Brown Deer  
Technology (Forest Hill, MD) and Peter Mandl, Senior Product
Marketing  
Manager, AMD (Sunnyvale, CA). For more information, contact Mr.
Richie  
at   [hidden email] e-mail address is being
protected from spambots. You need JavaScript enabled to view it  , Mr.
Mandl
at   [hidden email] e-mail address is being protected
from spambots.
You need JavaScript enabled to view it  , or visit
http://info.hotims.com/28059-402.
B
Footnotes
B
[a] System configuration:
AMD Phenomb" II X4 940 processor-based system, 3  GHz, ASUSTek M3A79-T
DELUXE, 4BG DDR2-166, WindowsB. 7 64-bit Enterprise OS, ATI RadeonoL HD 5870
with 1GB memory, GPU clock 850 MHz, memory  
clock 1.2 GHz, Driver 8.680.0.0,
OpenCL base build, SDK 2.0 Beta 4.
[b] System configuration: AMD Phenom II X4
940 3 GHz (Deneb), ASUSTeK  
M3A79-T DELUXE, 4GB Kingston DDR2-1066 MHz,
Windows 7 64-bit ATI Radeonb" HD 5870 with 1GB memory, GPU clock 850 MHz,
memory clock 1.2 GHz, ATI  Driver: 8.73 base kit.
[c] System configuration (i)
ATI Radeon HD 5870 single GPU, Memory: 1GB GDDR5, 850 MHz core clock, 1200 MHz
memory  clock, Catalyst 10.2, ATI Stream SDK V2.1, BDT coprthr_sdk:
v1.0-RC1
(ii) Visiontek Radeon HD 5970 dual-GPU, Memory: 2GB GDDR5, 725 MHz core
clock, 1000 MHz memory clock, Catalyst 10.2, ATI Stream SDK
V2.1, BDT
coprthr_sdk: v1.0-RC1 (iii) ASUS M4A79T motherboard, CPU: AMD Phenom II  X6
1090T BE @ 3.2 GHz, Memory: 4C4GB DDR3-1600 (9-9-9-24
timing), OS:  Linux
CentOS 5.4 x86_64.
References
B
[1] A. Taflove and M.E. Brodwin, IEEE Trans.
Microwave Theory Techn., Vol. 23, pp. 623-630, (1975).
[2] S.E. Minkoff, J.
Sci. Comput. Vol. 24, No. 1, pp 1-19 (2002).B
B
B
B
B
http://rns-thoughts.blogspot.com/
tel :  +61402 350 315
Rajneesh N. Shetty
>________________________________
>From: Nico Kadel-Garcia <[hidden email]>
>To: Rajneesh N. Shetty <[hidden email]>
>Cc:
"[hidden email]" <[hidden email]>; Misc list
<[hidden email]>
>Sent: Sunday, 17 July 2011 5:18 PM
>Subject: Re: CVS:
cvs.openbsd.org: ports
>
>On Sun, Jul 17, 2011 at 2:55 AM, Rajneesh N. Shetty
><[hidden email]> wrote:
>> would obsd 4.9 B work ok on the
attached specifications?
>>
>> please advise if
>> anyone has tried it so far.
this one is a "notebook".
>>
>> they have an athlon
>> version as well which
is a "netbook", but i'am not too sure i want to try that
>> one for bsd yet...
>
>[ text snipped ]
>
>>
>> [demime 1.01d removed an attachment of type
application/pdf which had a name of TL120 Series_VXL.pdf]
>
>Looks like your
PDF got snipped. Perhaps you can publish a URL instead?

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Re: CVS: cvs.openbsd.org: ports

Stuart Henderson
In reply to this post by Rajneesh Shetty-3
On 2011/07/16 23:55, Rajneesh N. Shetty wrote:

> would obsd 4.9  work ok on the attached specifications?
>
> please advise if
> anyone has tried it so far. this one is a "notebook".
>
> they have an athlon
> version as well which is a "netbook", but i'am not too sure i want to try that
> one for bsd yet...
>
>  
> [demime 1.01d removed an attachment of type application/pdf which had a name of TL120 Series_VXL.pdf]


http://www.vxl.net/Products/products.aspx?CategoryID=Nw==-ejXBZi/4MdY=&SubCategoryID=MjE%3D-P%2BZCCZEIk2g%3D

As far as the machine hardware goes:

TL-120 looks like it's based on Thinkpad X100e and is fairly
likely to work.

TL-420 looks like a Thinkpad L420 which uses the Sandy Bridge chipset
so afaik graphics are not supported fully yet.

The other likely problem area in general is ACPI, if this is same or
very similar to the Thinkpad it's based on this is fairly likely to be
alright.

This is all "likely" not "it will work for sure". Unless you can find
someone with the same system and BIOS version, or test before you buy,
you can't say for sure until you try it.

And this all assumes that the machine is not locked down and that
you can actually install your own choice of OS....

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Re: CVS: cvs.openbsd.org: ports

Nico Kadel-Garcia-2
On Sun, Jul 17, 2011 at 4:32 AM, Stuart Henderson <[hidden email]>
wrote:
> On 2011/07/16 23:55, Rajneesh N. Shetty wrote:
>> would obsd 4.9  work ok on the attached specifications?
>>
>> please advise if
>> anyone has tried it so far. this one is a "notebook".
>>
>> they have an athlon
>> version as well which is a "netbook", but i'am not too sure i want to try
that
>> one for bsd yet...

[ Stuart's well organized suggetions snipped, very helpful stuff. I
hope someone is paying you well. ]

Ranjeesh, is this for a machine you're considering buying? Or for a
machine you've already got? Can you do a backup of what's on it and
just *try* the 4.9 install?

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Re: CVS: cvs.openbsd.org: ports

ben calvert
Or, install onto a USB drive using a machine you've already got, and
then boot the thing from the USB...

On Sunday, July 17, 2011, Nico Kadel-Garcia <[hidden email]> wrote:

> On Sun, Jul 17, 2011 at 4:32 AM, Stuart Henderson <[hidden email]>
> wrote:
>> On 2011/07/16 23:55, Rajneesh N. Shetty wrote:
>>> would obsd 4.9 B work ok on the attached specifications?
>>>
>>> please advise if
>>> anyone has tried it so far. this one is a "notebook".
>>>
>>> they have an athlon
>>> version as well which is a "netbook", but i'am not too sure i want to try
> that
>>> one for bsd yet...
>
> [ Stuart's well organized suggetions snipped, very helpful stuff. I
> hope someone is paying you well. ]
>
> Ranjeesh, is this for a machine you're considering buying? Or for a
> machine you've already got? Can you do a backup of what's on it and
> just *try* the 4.9 install?