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Laptop untuk image processing
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Salam,
Saya nak tanya pendapat. Sesiapa yang pakar tolong jawabkan. Saya sedang mensurvey laptop yang paling bagus performance untuk research image processing, 2D and 3D using matlab, especially untuk medical image. Harga bawah RM4, kalau less lagi bagus. Sesiapa yang ada pendapat/pengalaman boleh tolong jawabkan.
Thanks 1000X |
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Reply 2# puccafan
RM 4??biar betul... |
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Reply 3# adorabelle1985
bukan la.ko tak baca ke problem statement TT nih |
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Reply 1# Siti_Ahmad
basic needs utk matlab---> any proc supprting SSE2 instruction, 3-4gb hdd space for installation n recommended 2gb memory...
so.. mana2 proc pong xde masalah.. sume proc generasi kini sume support SSE2.. xde masalah.. ram, alang2 trs jek sumbat 4gb...
mebi leh g usha asus A42JV - I450W, core i5 2.4ghz, atau A42JC - I462W, core i5 2.53ghz..
xpong dell N4010 - 46451G, core i5 2.53ghz 4gb ddr3, win7, ati graphics (rm2599).. xpong xps 14 core i5 2.53ghz 4gb ddr3, win7, nvidia graphics (rm2999).. leh check kat website dell |
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tima kasih atas balasan anda semua..kalau ada pandangan dr yang lain pun dialu-alukan.. |
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Halimi78,
Antara dell dan HP mana bagus ye? |
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Reply 8# Siti_Ahmad
dah lama x amik hp/compaq.. sbb lately servis dia agak teruk dan menyusahkan..
dell pong ok jah... |
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Reply 5# Siti_Ahmad
Hehehe..jangan la marah, of course, i know its 4 ribu..saje nak kacau.. |
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inspiron ngan xps apa beza? asal tak jumpa n4010? Lagi satu antara XPS 15 i5 or i7 beza dalam RM500. Penting ke processor atau i5 dah cukup bagus? dua-dua ni ram leh tambah ke? |
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aku rekemen apple macbook. |
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tapi TT nk guna matlab..... jadi aku rekemen laptop yg ade i5/i7 daripada macbook... |
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Reply 11# Siti_Ahmad
   n4010 tu inspiron series...
xps 15.. saiz 15 inci... nak guna i5 ke i7, tpulanglah.. 
cuma kalo software yg nak guna tu x reti nak guna byk core..
i5 dah cukup.. sbb raw processing power lbh.. 2.53 vs 1.73.. 
speed lbh tinggi.. compensate lower cache only 3M..
me personally akn pilih i5 jek.. wp dualcore tp still running 4thread..
pasal ram.. 4gb (2x2gb) is more than enough.. for average user.. |
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Computer Hardware Configuration
Memory
Many computations in MATLAB (especially those that involve large matrices and other objects containing thousands of elements) require repeated access to memory for reading and writing data. The random access memory (RAM) of a computer allows for the fastest access to such working memory. Installing more RAM than what is listed in the system requirements may improve MATLAB performance, although other factors such as memory access speed should be considered.
See the amount of memory available for different types of data using 32-bit and 64-bit MATLAB in Technical Note 1110: Maximum Matrix Size by Platform.
For a general introduction to 32-bit and 64-bit computing, including the salient characteristics of each, see Technical Note 1106: Memory Management Guide.
Note that changing from 32-bit to 64-bit MATLAB only allows for the creation and manipulation of larger variables but does not imply a boost in execution speed.
Processors
A processor with a high clock speed can perform calculations faster than those with lower clock speeds, so processor speed will affect MATLAB performance. However, users should be aware of several limitations:
You can not, in general, compare the clock speeds of different microprocessor families.
The speed of many MATLAB programs is not limited by processor speed but rather by other factors such as access to memory and bus speed. Thus, doubling the clock speed of your processor will not necessarily cause a doubling in execution speed.
Cache Memory 
The cache memory in modern processors represents a fast but expensive location for data storage. The less expensive but slower RAM becomes active whenever the cache memory is exhausted.
The effect of increasing the cache memory on MATLAB performance is difficult to assess without careful benchmarking. Unless special needs are identified, systems generally come with enough cache memory for most common applications.
Multiple Cores 
As of MATLAB 7.4 (R2007a), it is possible to enable MATLAB to use the multithreading capabilities of your multicore computer for functions that include operations in the Basic Linear Algebra Subprograms (BLAS) Library (e.g., matrix multiplication and QR decomposition) and element-wise numerical operations (e.g., trigonometric and logarithmic functions).
MATLAB is not multithreaded for other functions, notably those in the C and C++ Math Libraries. Hence, even when a standalone executable is generated using MATLAB Compiler and the C or C++ Math Libraries, it will not be able to take advantage of the multiple processors on a given machine.
If many users of MATLAB are sharing the same machine, then having multiple processors can greatly improve the throughput of the system and the response time of each individual user of MATLAB.
See more information about multithreading capabilities in the multiprocessing section of the MATLAB documentation.
some points to consider...
*i7 is not necessarily faster than i5..
*if the software doesn't supprt multithreading.. extra cores are unusable.. |
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Oh..banyak mende kena tau nih..ni nak pakai 3 4 tahun untuk wat extensive research... |
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tapi TT nk guna matlab..... jadi aku rekemen laptop yg ade i5/i7 daripada macbook...
akumirul Post at 4-11-2010 03:15 PM
15" MacBook Pro
- $1799: 2.4 GHz Core i5, Intel HD Graphics and NVIDIA GeForce GT 330M with 256MB, 4 GB RAM, 320 GB hard drive
- $1999: 2.53 GHz Core i5, Intel HD Graphics and NVIDIA GeForce GT 330M with 256MB, 4 GB RAM, 500 GB hard drive
- $2199: 2.66 GHz Core i7, Intel HD Graphics and NVIDIA GeForce GT 330M with 512MB, 4 GB RAM, 500 GB hard drive
http://www.macrumors.com/2010/04 ... -and-i7-processors/ |
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Reply 17# bzzts
RM4k ke bila convert? |
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soalan maut dari en halimi!... hahaha...
amik i5 dah cukup. amik yg hi speed skit....
sebab kalau software tu tak multithreaded, sia2 jer core yg lain2 tu!.... dia akan kira 1x2.66ghz vs 1x1.73ghz jugak! |
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Reply 18# halimi78
aku reply kat mirul tu.
ut TT, amik i5 ckup le.
takpun core2duo pun dah memadai. janji ram besau. |
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