Fast Internal HD (7200RPM)

I'm using my 17" Aluminium Powerbook G4 1.33GHz for audio and live music applications (Logic Pro, Reason, Live etc) and am looking for a fast 7200RPM large capacity (120GB and up) INTERNAL hard disk. Ideally, I'd like a 250GB 7200RPM drive. Are these available for this Powerbook? I'm also beefing up the RAM from 1Gb to 2Gb, in an attempt to get another year out of the machine. Hoping to hold out for the Nelahem MacBook Pros when they come out!
Any advice would be appreciated!

I've just searched macsales.com, zipzoomfly.com, newegg.com, and buy.com, the four vendors I consistently recommend for hard drive purchases. They all sell huge numbers of hard drives at extremely competitive prices, and none of them has a single 2.5" 7200RPM ATA/IDE drive on hand. As I said, these drives are now very hard to find. I don't believe any of them are still in production.

Similar Messages

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    I'm curious as to whether certain performance issues with Lightroom 4 are related to my setup...I am on Windows 7, 12GB RAM, 2 750GB 7200rpm hard drives (internal) and several external drives. The way I have it set up is:
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    it shouldn't negatively affect the performance the way that you have described:
    reference these links-
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    http://www.oreillynet.com/digitalmedia/blog/2007/03/five_ways_to_speed_up_lightroo.html
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  • Change iDVD to burn on my faster internal optical drive?

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  • Which HDD connection is faster -- Internal ATA or External Firewire?

    I want to set up a HDD as a scratch drive for Photoshop. Which connection would be faster -- hooking it up to my internal ATA 100 cable or an external firewire enclosure? I do not have a drive presently hooked up to my ATA 100 cable since I'm running my boot drive off a SATA controller card, so there would NOT be two drives on the ATA 100, just the scratch drive. Thanks.

    The speed ratings of drives above ATA-66 is mostly specsmanship.
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  • Looking for fast internal hard drive

    I want to replace the existing hard drive in my iBook G4 with a faster one (7200 rpm). I realize the battery time will suffer. Does anybody have any specific recommendations (as to which brand)?
    Thanks.

    Most of the newer specifications of modern drives I've seen are
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    edited.

  • Internal 320 7200rpm hard drive

    where can i buy a good replacement hard drive for my new macbook pro? i need 7200rpm. i currently have the stock 320 5400rpm ;(

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    Message was edited by: Michael Flynn

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    What settings should I alter to get better previews? 

    Well I'm still pretty clueless about this, but for anyone who is looking at this and wondering, here's what I've gleaned:
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  • Can I upgrade HD to 750GB, 7200rpm on 13-Inch 2008 macbook (white)?

    I've just ordered a 'Western Digital Scorpio Black 750GB, 7200rpm, 2.5-inch internal Hard Drive' to upgrade the internal HD on my Early 2008 13-inch Macbook (white). It is only subsequently I've thought to check if there may be any issues with this, and I've read conflicting information. Some sources say the maximum compatible HD memory is 500GB, some say the maximum rpm is 5400rpm, others say 750GB and 7200rpm are compatible with the 2008 13-inch Macbooks.
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    Did you ever find out if this is possible? Did you try the drive and it worked out for you?
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  • Need advice about Macbook internal HD and Logic Pro

    Hi!
    If I use an external Firewire HD for my projects. The Audiofiles gets saved ( recorded ) in the "audio" folder inside the projects folder on the external HD.
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    / Mikke

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  • Internal scsi drives on mac pro?

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    Thanks,
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    following up on this thread -
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  • Problem upgrading internal HD

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  • Making faster runtime

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    Nested selects
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    Select with view
    Select with index support
    Select … Into table
    Select with selection list
    Key access to multiple lines
    Copying internal tables
    Modifying a set of lines
    Deleting a sequence of lines
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    Comparison of internal tables
    Modify selected components
    Appending two internal tables
    Deleting a set of lines
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    •     Small amount of data
    •     Mixing processing and reading of data
    •     Easy to code - and understand
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    •     Large amount of data
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    The plus
    •     Very large amount of data
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    •     Very difficult to program/understand
    •     Mixing processing and reading of data not possible
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    SELECT * FROM SBOOK.                   
      CHECK: SBOOK-CARRID = 'LH' AND       
                      SBOOK-CONNID = '0400'.        
    ENDSELECT.                             
    SELECT * FROM SBOOK                     
      WHERE CARRID = 'LH' AND               
            CONNID = '0400'.                
    ENDSELECT.                              
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            ARBGB = '00'.     
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    ENDSELECT.                
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    Select with view
    SELECT * FROM DD01L                    
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            AND AS4LOCAL = 'A'.            
      SELECT SINGLE * FROM DD01T           
        WHERE   DOMNAME    = DD01L-DOMNAME 
            AND AS4LOCAL   = 'A'           
            AND AS4VERS    = DD01L-AS4VERS 
            AND DDLANGUAGE = SY-LANGU.     
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    SELECT * FROM DD01V                    
    WHERE DOMNAME LIKE 'CHAR%'           
           AND DDLANGUAGE = SY-LANGU.     
    ENDSELECT.                             
    Select with index support
    SELECT * FROM T100            
    WHERE     ARBGB = '00'      
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    REFRESH X006.                 
    SELECT * FROM T006 INTO X006. 
      APPEND X006.                
    ENDSELECT
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    SELECT * FROM DD01L              
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    WHERE DOMNAME LIKE 'CHAR%' 
           AND AS4LOCAL = 'A'.  
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    CHECK TAB-K = KVAL. 
    ENDLOOP.              
    LOOP AT TAB WHERE K = KVAL.     
    ENDLOOP.                        
    Copying internal tables:
    REFRESH TAB_DEST.              
    LOOP AT TAB_SRC INTO TAB_DEST. 
      APPEND TAB_DEST.             
    ENDLOOP.                       
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    LOOP AT TAB.             
      IF TAB-FLAG IS INITIAL.
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      MODIFY TAB.            
    ENDLOOP.                 
    TAB-FLAG = 'X'.                  
    MODIFY TAB TRANSPORTING FLAG     
               WHERE FLAG IS INITIAL.
    Deleting a sequence of lines:
    DO 101 TIMES.               
      DELETE TAB_DEST INDEX 450.
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    READ TABLE TAB WITH KEY K = 'X'.
    READ TABLE TAB WITH KEY K = 'X' BINARY SEARCH.
    Comparison of internal tables
    DESCRIBE TABLE: TAB1 LINES L1,      
                    TAB2 LINES L2.      
    IF L1 <> L2.                        
      TAB_DIFFERENT = 'X'.              
    ELSE.                               
      TAB_DIFFERENT = SPACE.            
      LOOP AT TAB1.                     
        READ TABLE TAB2 INDEX SY-TABIX. 
        IF TAB1 <> TAB2.                
          TAB_DIFFERENT = 'X'. EXIT.    
        ENDIF.                          
      ENDLOOP.                          
    ENDIF.                              
    IF TAB_DIFFERENT = SPACE.           
    ENDIF.                              
    IF TAB1[] = TAB2[].  
    ENDIF.               
    Modify selected components:
    LOOP AT TAB.           
    TAB-DATE = SY-DATUM. 
    MODIFY TAB.          
    ENDLOOP.               
    WA-DATE = SY-DATUM.                    
    LOOP AT TAB.                           
    MODIFY TAB FROM WA TRANSPORTING DATE.
    ENDLOOP.     
    Appending two internal tables:
    LOOP AT TAB_SRC.              
      APPEND TAB_SRC TO TAB_DEST. 
    ENDLOOP
    APPEND LINES OF TAB_SRC TO TAB_DEST.
    Deleting a set of lines:
    LOOP AT TAB_DEST WHERE K = KVAL. 
      DELETE TAB_DEST.               
    ENDLOOP
    DELETE TAB_DEST WHERE K = KVAL.
    Tools available in SAP to pin-point a performance problem
    •     The runtime analysis (SE30)
    •     SQL Trace (ST05)
    •     Tips and Tricks tool
    •     The performance database
    Optimizing the load of the database
    Using table buffering:
    Using buffered tables improves the performance considerably. Note that in some cases a stament can not be used with a buffered table, so when using these staments the buffer will be bypassed. These staments are:
    •     Select DISTINCT
    •     ORDER BY / GROUP BY / HAVING clause
    •     Any WHERE clasuse that contains a subquery or IS NULL expression
    •     JOIN s
    •     A SELECT... FOR UPDATE
    If you wnat to explicitly bypass the bufer, use the BYPASS BUFFER addition to the SELECR clause.
    Use the ABAP SORT Clause Instead of ORDER BY:
    The ORDER BY clause is executed on the database server while the ABAP SORT statement is executed on the application server. The datbase server will usually be the bottleneck, so sometimes it is better to move thje sort from the datsbase server to the application server.
    If you are not sorting by the primary key ( E.g. using the ORDER BY PRIMARY key statement) but are sorting by another key, it could be better to use the ABAP SORT stament to sort the data in an internal table. Note however that for very large result sets it might not be a feasible solution and you would want to let the datbase server sort it.
    Avoid ther SELECT DISTINCT Statement:
        As with the ORDER BY clause it could be better to avoid using SELECT DISTINCT, if some of the fields are not part of an index. Instead use ABAP SORT + DELETE ADJACENT DUPLICATES on an internal table, to delete duplciate rows.
    TIPS & TRICKS FOR OPTIMIZATION
    •     Use the GET RUN TIME command to help evaluate performance. It's hard to know whether that optimization technique REALLY helps unless you test it out. Using this tool can help you know what is effective, under what kinds of conditions. The GET RUN TIME has problems under multiple CPUs, so you should use it to test small pieces of your program, rather than the whole program.
    •     Generally, try to reduce I/O first, then memory, then CPU activity. I/O operations that read/write to hard disk are always the most expensive operations. Memory, if not controlled, may have to be written to swap space on the hard disk, which therefore increases your I/O read/writes to disk. CPU activity can be reduced by careful program design, and by using commands such as SUM (SQL) and COLLECT (ABAP/4).
    •     Avoid 'SELECT *', especially in tables that have a lot of fields. Use SELECT A B C INTO instead, so that fields are only read if they are used. This can make a very big difference.
    •     Field-groups can be useful for multi-level sorting and displaying. However, they write their data to the system's paging space, rather than to memory (internal tables use memory). For this reason, field-groups are only appropriate for processing large lists (e.g. over 50,000 records). If you have large lists, you should work with the systems administrator to decide the maximum amount of RAM your program should use, and from that, calculate how much space your lists will use. Then you can decide whether to write the data to memory or swap space.
    •     Use as many table keys as possible in the WHERE part of your select statements.
    •     Whenever possible, design the program to access a relatively constant number of records (for instance, if you only access the transactions for one month, then there probably will be a reasonable range, like 1200-1800, for the number of transactions inputted within that month). Then use a SELECT A B C INTO TABLE ITAB statement.
    •     Get a good idea of how many records you will be accessing. Log into your productive system, and use SE80 -> Dictionary Objects (press Edit), enter the table name you want to see, and press Display. Go To Utilities -> Table Contents to query the table contents and see the number of records. This is extremely useful in optimizing a program's memory allocation.
    •     Try to make the user interface such that the program gradually unfolds more information to the user, rather than giving a huge list of information all at once to the user.
    •     Declare your internal tables using OCCURS NUM_RECS, where NUM_RECS is the number of records you expect to be accessing. If the number of records exceeds NUM_RECS, the data will be kept in swap space (not memory).
    •     Use SELECT A B C INTO TABLE ITAB whenever possible. This will read all of the records into the itab in one operation, rather than repeated operations that result from a SELECT A B C INTO ITAB... ENDSELECT statement. Make sure that ITAB is declared with OCCURS NUM_RECS, where NUM_RECS is the number of records you expect to access.
    •     If the number of records you are reading is constantly growing, you may be able to break it into chunks of relatively constant size. For instance, if you have to read all records from 1991 to present, you can break it into quarters, and read all records one quarter at a time. This will reduce I/O operations. Test extensively with GET RUN TIME when using this method.
    •     Know how to use the 'collect' command. It can be very efficient. 
    •     Use the SELECT SINGLE command whenever possible.  
    •     Many tables contain totals fields (such as monthly expense totals). Use these avoid wasting resources by calculating a total that has already been calculated and stored.
    ABAP/4 Development Code Efficiency Guidelines
    ABAP/4 (Advanced Business Application Programming 4GL) language is an "event-driven", "top-down", well-structured and powerful programming language.  The ABAP/4 processor controls the execution of an event.  Because the ABAP/4 language incorporates many "event" keywords and these keywords need not be in any specific order in the code, it is wise to implement in-house ABAP/4 coding standards.
    SAP-recommended customer-specific ABAP/4 development guidelines can be found in the SAP-documentation.
    This page contains some general guidelines for efficient ABAP/4 Program Development that should be considered to improve the systems performance on the following areas:-
    Physical I/O - data must be read from and written into I/O devices. This can be a potential bottle neck. A well configured system always runs 'I/O-bound' - the performance of the I/O dictates the overall performance.
    Memory consumption of the database resources eg. buffers, etc.
    CPU consumption on the database and application servers
    Network communication - not critical for little data volumes, becomes a bottle neck when large volumes are transferred.
    Policies and procedures can also be put into place so that every SAP-customer development object is thoroughly reviewed (quality – program correctness as well as code-efficiency) prior to promoting the object to the SAP-production system.   Information on the SAP R/3 ABAP/4 Development Workbench programming tools and its features can be found on the SAP Public Web-Server.
    CLASSIC GOOD 4GL PROGRAMMING CODE-PRACTICES GUIDELINES
    Avoid dead-code :
    Remove unnecessary code and redundant processing
    Spend time documenting and adopt good change control practices
    Spend adequate time anayzing business requirements, process flows, data-structures and data-model
    Quality assurance is key: plan and execute a good test plan and testing methodology
    Experience counts
    SELECT * FROM <TABLE>
    CHECK:  <CONDITION>
    ENDSELECT
      vs.
    SELECT * FROM <TABLE>
    WHERE <CONDITION>
    ENDSELECT
    In order to keep the amount of data which is relevant to the query the hit set small, avoid using SELECT+CHECK statements wherever possible. As a general rule of thumb, always specify all known conditions in the WHERE clause (if possible). If there is no WHERE clause the DBMS has no chance to make optimizations.  Always specify your conditions in the Where-clause instead of checking them yourself with check-statements.  The database system can also potentially make use a database index (if possible) for greater efficiency resulting in less load on the database server and considerably less load on the network traffic as well.
    Also, it is important to use EQ (=) in the WHERE clause wherever possible, and analyze the SQL-statement for the optimum path the database optimizer will utilize via SQL-trace when necessary.
    Also, ensure careful usage of  "OR", "NOT"  and value range tables (INTTAB) that are used inappropriately in Open SQL statements.
    SELECT *
    vs.
    SELECT SINGLE *
    If you are interested in exactly one row of a database table or view, use the SELECT SINGLE statement instead of a SELECT * statement.  SELECT SINGLE requires one communication with the database system whereas SELECT * requires two.
    SELECT * FROM <TABLE>  INTO <INT-TAB>
    APPEND <INT-TAB>
    ENDSELECT
    vs.
    SELECT * FROM <TABLE> INTO TABLE <INT-TAB>
    It is usually faster to use the INTO TABLE version of a SELECT statement than to use APPEND statements
    SELECT ... WHERE + CHECK
    vs.
    SELECT using aggregate function
    If you want to find the maximum, minimum, sum and average value or the count of a database column, use a select list with aggregate functions instead of computing the aggregates within the program.   The RDBMS is responsible for aggregated computations instead of transferring large amount of data to the application. Overall Network, Application-server and Database load is also considerably less.
    SELECT INTO TABLE <INT-TAB> + LOOP AT T
    SELECT * FROM <TABLE> INTO TABLE <INT-TAB>.
    LOOP AT <INT-TAB>.
    ENDLOOP.
    vs.
    SELECT * FROM <TABLE>
    ENDSELECT
    If you process your data only once, use a SELECT-ENDSELECT loop instead of collecting data in an internal table with SELECT ... INTO TABLE.  Internal table handling takes up much more space
    Nested SELECT statements:
    SELECT * FROM <TABLE-A>
         SELECT * FROM <TABLE-B>
         ENDSELECT.
    ENDSELECT
    vs.
    Select with view
    SELECT * FROM <VIEW>
    ENDSELECT
    To process a join, use a view wherever possible instead of nested SELECT statements.
    Using nested selects is a technique with low performance. The inner select statement is executed several times which might be an overhead. In addition, fewer data must be transferred if another technique would be used eg. join implemented as a view in ABAP/4 Repository.
    • SELECT ... FORM ALL ENTRIES
    • Explicit cursor handling (for more information, goto Transaction SE30 – Tips & Tricks)
    Nested select:
    SELECT * FROM pers WHERE condition.
             SELECT * FROM persproj WHERE person = pers-persnr.
                   ... process ...
             ENDSELECT.
    ENDSELECT.
    vs.
    SELECT persnr FROM pers INTO TABLE ipers WHERE cond.  ……….
    SELECT * FROM persproj FOR ALL ENTRIES IN ipers
          WHERE person = ipers-persnr
    ………... process .……………
    ENDSELECT.
    In the lower version the new Open SQL statement FOR ALL ENTRIES is used. Prior to the call, all interesting records from 'pers' are read into an internal table. The second SELECT statement results in a call looking like this (ipers containing: P01, P02, P03):
    (SELECT * FROM persproj WHERE person = 'P01')
    UNION
    (SELECT * FROM persproj WHERE person = 'P02')
    UNION
    (SELECT * FROM persproj WHERE person = 'P03')
    In case of large statements, the R/3's database interface divides the statement into several parts and recombines the resulting set to one.  The advantage here is that the number of transfers is minimized and there is minimal restrictions due to the statement size (compare with range tables).
    SELECT * FROM <TABLE>
    vs.
    SELECT <column(s)> FROM <TABLE>
    Use a select list or a view instead of SELECT *, if you are only interested in specific columns of the table. If only certain fields are needed then only those fields should be read from the database.  Similarly, the number of columns can also be restricted by using a view defined in ABAP/4 Dictionary. Overall database and network load is considerably less.
    SELECT without table buffering support
    vs.
    SELECT with table buffering support
    For all frequently used, read-only(few updates) tables, do attempt to use SAP-buffering for eimproved performance response times. This would reduce the overall Database activity and Network traffic.
    Single-line inserts
    LOOP AT <INT-TAB>
    INSERT INTO <TABLE> VALUES <INT-TAB>
    ENDLOOP
    vs.
    Array inserts
    Whenever possible, use array operations instead of single-row operations to modify the database tables.
    Frequent communication between the application program and database system produces considerable overhead.
    Single-line updates
    SELECT * FROM <TABLE>
      <COLUMN-UPDATE STATEMENT>
      UPDATE <TABLE>
    ENDSELECT
    vs.
    Column updates
    UPDATE <TABLE> SET <COLUMN-UPDATE STATEMENT>
    Wherever possible, use column updates instead of single row updates to update your database tables
    DO....ENDDO loop with Field-Symbol
    vs.
    Using CA operator
    Use the special operators CO, CA, CS instead of programming the operations yourself
    If ABAP/4 statements are executed per character on long strings, CPU consumprion can rise substantially
    Use of a CONCATENATE function module
    vs.
    Use of a CONCATENATE statement
    Some function modules for string manipulation have become obsolete, and should be replaced by ABAP statements or functions
    STRING_CONCATENATE...   ---> CONCATENATE
    STRING_SPLIT...  ---> SPLIT
    STRING_LENGTH...  ---> strlen()
    STRING_CENTER...  ---> WRITE..TO. ..CENTERED
    STRING_MOVE_RIGHT  ---> WRITE...TO...RIGHT-JUSTIFIED
    Moving with offset
    vs.
    Use of the CONCATENATE statement
    Use the CONCATENATE statement instead of programming a string concatenation of your own
    Use of SEARCH and MOVE with offset
    vs.
    Use of SPLIT statement
    Use the SPLIT statement instead of programming a string split yourself
    Shifting by SY-FDPOS places
    vs
    Using SHIFT...LEFT DELETING LEADING...
    If you want ot delete the leading spaces in a string use the ABAP/4 statements SHIFT...LEFT DELETING LEADING...  Other constructions (with CN and SHIFT... BY SY-FDPOS PLACES, with CONDENSE if possible, with CN and ASSIGN CLA+SY-FDPOS(LEN) ...) are not as fast
    Get a check-sum with field length
    vs
    Get a check-sum with strlen ()
    Use the strlen () function to restrict the DO loop to the relevant part of the field, eg. when determinating a check-sum

  • 512 ssd vs 256 ssd 750 hdd 7200rpm?

    Hi I read that several people configure 256gb ssd + 750gb hdd 7200rpm, cause they use the  ssd for applications and the hhd for storage. But in general you
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    I found this question myself googling for answers to same topic. Most benchmarks do not seem to be testing aged SSDs, but brand new out of the box SSDs that will usually smoke even 7200RPM drives. But what happens 3 months later after the SSD virgin blocks have been written to at least once and then it starts it slow erase cycles?
    Read performance of the SSD will always be faster than the 7200RPM drive, esp when comparing random access or fragmented file system accesses. So why does write performance matter if you aren't, for example, doing heavy write tasks like saving video files? Because the OS does tons of little random reads AND writes just sitting there... anything you do like open a new browser tab or start a Flash player will open up temp files for writing... so write performance becomes quite important if writes start to get really slow for any reason.
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    http://forums.anandtech.com/showthread.php?t=2218206

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