How to select same descendant members from different hierarchies?

Hi All, 
please help, how it is possible to select same values for only the same hierarchy member names from different hierarchies?
Example:
L1          #L1          L2          #L2          Value
A          #A          a1          #a1          7
A          #A          a1          #a2          2
A          #A          a2          #a2          0
A          #A          a2          #a1          6
A          #A          a3          #a3          1
A          #A          a3          #a3          9
A          #A          a3          #a1          2
A          #A          a4          #a2          2
A          #C          a4          #c1          2
B          #B          b1          #b1          5
B          #B          b1          #b2          8
B          #B          b2          #b2          2
B          #B          b2          #b1          6
B          #C          b3          #c1          4
Query1:
Select sum(value)
where L1 = #L1
Result:
L1          #L1          Value
A          #A          29
A          #A          21
Query2:
Select sum(value)
where L2 = #L2
Result:
L2          #L2          Value
a1          #a1          7
a2          #a2          0
a3          #a3          9
b1          #b1          5
b2          #b2          2
Names of level members with or without hashmark are identical (A=#A, a1=#a1 etc.).

[Hierarchy].[L1]*[Hierarchy].[#L1] returns all possible combination of the two hierarchies.
Here I would filter those cases only, where [Hierarchy].[L1].MEMBER
= [Hierarchy].[#L1].MEMBER, in aggregated format (Query1 result).

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    The following diagram shows again the structure of an application server, but this time, includes the various possible work process types:
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    The following diagram shows the structure of an application server:
    The individual components are:
    Work Processes
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    Each application server contains a dispatcher. The dispatcher is the link between the work processes and the users logged onto the application server. Its task is to receive requests for dialog steps from the SAP GUI and direct them to a free work process. In the same way, it directs screen output resulting from the dialog step back to the appropriate user.
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    Each application server contains a gateway. This is the interface for the R/3 communication protocols (RFC, CPI/C). It can communicate with other application servers in the same R/3 System, with other R/3 Systems, with R/2 Systems, or with non-SAP systems.
    The application server structure as described here aids the performance and scalability of the entire R/3 System. The fixed number of work processes and dispatching of dialog steps leads to optimal memory use, since it means that certain components and the memory areas of a work process are application-independent and reusable. The fact that the individual work processes work independently makes them suitable for a multi-processor architecture. The methods used in the dispatcher to distribute tasks to work processes are discussed more closely in the section Dispatching Dialog Steps.
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    The following diagram is an example of how this might happen:
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    2. The dispatcher receives the request to execute a dialog step from user 2 and directs it to work process 1, which is now free again. The work process executes the dialog step as in step 1.
    3. While work process 1 is still working, the dispatcher receives a further request from user 1 and directs it to work process 2, which is free.
    4. After work processes 1 and 2 have finished processing their dialog steps, the dispatcher receives another request from user 1 and directs it to work process 1, which is free again.
    5. While work process 1 is still working, the dispatcher receives a further request from user 2 and directs it to work process 2, which is free.
    From this example, we can see that:
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    • The individual dialog steps of a program can be executed on different work processes, and the program context must be addressed for each new work process.
    • A work process can execute dialog steps of different programs from different users.
    The example does not show that the dispatcher tries to distribute the requests to the work processes such that the same work process is used as often as possible for the successive dialog steps in an application. This is useful, since it saves the program context having to be addressed each time a dialog step is executed.
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    As mentioned above, a work process can only make database changes within a single database logical unit of work (LUW). A database LUW is an inseparable sequence of database operations. The contents of the database must be consistent at its beginning and end. The beginning and end of a database LUW are defined by a commit command to the database system (database commit). During a database LUW, that is, between two database commits, the database system itself ensures consistency within the database. In other words, it takes over tasks such as locking database entries while they are being edited, or restoring the old data (rollback) if a step terminates in an error.
    A typical SAP application program extends over several screens and the corresponding dialog steps. The user requests database changes on the individual screens that should lead to the database being consistent once the screens have all been processed. However, the individual dialog steps run on different work processes, and a single work process can process dialog steps from other applications. It is clear that two or more independent applications whose dialog steps happen to be processed on the same work process cannot be allowed to work with the same database LUW.
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