代写代考 Coursework 2 Cache Coherence

Coursework 2 Cache Coherence
Parallel Architectures
Issued: Monday February 3, 2020
Due: Friday March 6, 2020 at 4pm (softcopy using submit)

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1. Introduction
This assignment is the second coursework of the Parallel Architectures course. This
coursework will contribute 20% of the final mark for this course.
It consists of a programming exercise culminating in a brief written report. Assessment
of this practical will be based on the correctness, clarity and creativity (for the last part) of the solution. This coursework is to be solved individually to assess your competence on the subject. Please bear in mind the School of Informatics guidelines on plagiarism. Please refer to Section 4 for submission instructions.
2. Overview of the Coursework
The goal of this coursework is to develop a cache coherence protocol simulator and evaluate it on the two memory access traces provided. The trace files will be given to you and their format is described in Section 3.2. To accomplish this goal, you will need to undertake two tasks (Sections 2.1 and 2.2) and document them sufficiently in your report (the report format is discussed in Section 4.2).
2.1. Task-1: Directory-based MSI protocol – 80 marks
The first task is broken down into three subtasks:
2.1.1. Implementation (30 marks)
In order to simulate coherent caches, first you will have to write a simple cache simulator. On top of this cache simulator you will build an MSI directory-based coherence protocol with data forwarding on the configuration shown in Figure 1. You will assume only 4 processors with a single level of cache per processor. Section 3.1 describes the architectural specification in detail.
Given a trace, the simulator will compute the latency of every memory access. Latency will vary based on which component of the memory hierarchy serves the data. You can

Parallel Architectures Coursework 2: Cache Coherence
Figure 1: Ring network of processors
assume memory requests from the trace are processed atomically, so you do not need to model transient states.
Protocol description. The directory-based MSI variant, that you will implement, works with data forwarding (and is slightly different that what was discussed in class). When P1 misses on a read to its local cache, then it contacts the directory; the directory then asks the closest sharer (i.e., closest to P1) to forward the cache-line to P1. Similarly, on a write-miss from P1 (cache-line in S or I state), P1 contacts the directory. The directory then sends invalidations to all sharers, and (in parallel) communicates the number of sharers to P1. The sharers send their acknowledgements directly to P1. When P1 has received acknowledgements from all sharers, then it can perform its write. Note that, the complete specification of the protocol can be inferred from the examples of operation on Appendix D.
Implementation details. Appendix A describes the basic rules of how latency must be measured. Appendix D contains concrete examples illustrating how the latency of a request is computed in various cases. Finally, Appendix B describes the assumptions made for the directory-based protocol.
How to code the simulator. Section 4.1 describes in detail the requirements your code must fulfill.
Statistics. You will have to augment your simulator with mechanisms to collect and report important statistics. The statistics must be reported for the two traces in your written report through a table. In addition, your code will produce an output file (per trace) that contains these statistics. Appendix E enumerates the necessary statistics and describes the exact format of reporting the statistics.
2.1.2. Validation of the simulator (20 marks)
In order to have high confidence in the validity of your results, you should provide a small, artificial trace (you must create this trace), which uses the various output options (described in Section 3.2) to demonstrate that your simulator is working correctly. The artificial trace and the corresponding command line output of your simulator must be included in the written report. The trace you choose is entirely up to you, but you should make sure it covers important cases, such as reads and writes to a cache-line/block that is in states M or S in another cache. The artificial trace must be included in your submission (inside the

Parallel Architectures Coursework 2: Cache Coherence
archive, see Section 4).
2.1.3. Analysis questions (30 marks).
Inferring information from the statistics you gathered for the two traces, you must answer the following questions (in the report):
1. Characterize the two traces (trace1.txt and trace2.txt), focusing on the factors that increase the average latency. Characterizing the behaviour of a trace entails describing the properties of the access patterns. For example: What kind of misses are occurring? Is there a lot of synchronization? Is there locality and if so what kind of locality?
2. Given the above characterization:
2.1 How would you optimize the hardware (see Note 2 below) to reduce the average latency for trace1?
2.2 How would you optimize the hardware to reduce the average latency for trace2?
2.3 How would you optimize the hardware to reduce the average latency for both of the traces considered together?
Note 1: additional statistics. When characterizing the traces and proposing optimiza- tions, you can include additional statistics and measurements from your simulator (beyond the mandatory statistics), provided that useful conclusions can be drawn to support your claims and hypotheses.
Note 2: hardware optimization clarification. You are free to add additional hardware structures, make structural changes to the caches or the coherence protocol, or anything else you can imagine. Assume a total budget of 1KB SRAM (per question), noting that you do not have to use it, if it is not needed.
Note 3: optimization motivation. It is crucial that sufficient justification is provided, when proposing an optimization. Attempt to provide critical insight on the workloads of trace1 and trace2, which motivates your proposed optimizations.
2.2. Task-2: Optimization – 20 marks
As part of the analysis questions in Task-1 (§2.1.3), you were asked to propose an optimiza- tion for both traces (question 2.3). You are now asked to implement and evaluate your hypotheses. Therefore, you must implement your proposed optimization(s) (from question 2.3) attempting to reduce the average latency of the two traces. Appendix C contains more details about your implementation and evaluation of the optimization.
This task is broken into two subtasks:
1. Implement your optimization and report all the statistics, identically to the first
subtask of task-1 (Section 2.1.1).
2. Validate your optimization by means of providing a small artificial trace which uses
the various output options (identically to Section 2.1.2).

Parallel Architectures Coursework 2: Cache Coherence
Note 1. If, when answering question 2.3, you concluded that there is no optimization that covers both traces, then you can implement your proposed optimization of either question 2.1 (i.e., for trace1), or 2.2 (i.e., for trace2). Note however, that if you do propose an optimization for question 2.3, then you must implement it.
Note 2. To receive full marks for Task-2, it is not mandatory to be successful on reducing the latency for both traces. Rather, the goal of this task is to perform a correct, clear and complete evaluation of your hypothesis. The validity and the creativity of your hypothesis itself will be assessed as part of Task-1 (i.e., the analysis questions in §2.1.3).
3. Baseline specification
Below are the given parameters of the system you must implement.
3.1. Architecture
Our idealised architecture has 4 processors which are connected via a ring network (See Fig. 1) and a very simple memory hierarchy. Every processor is connected to the memory controller (single-hop distance). The directory is maintained adjacent to the memory controller. Memory is addressed at the word level and data addresses start from 0. There is no virtual memory. Thus, address 0 indexes the first word in memory, address 1 the second word, and so on.
The cache-line/block size is 4 words and the private cache of each processor contains 512 cache lines. The caches are direct-mapped with a writeback policy. Please refer to Hennessy and Patterson [1] for details on how addresses (word addresses in the case of this practical) are broken into index and tag. Finally, you can also assume that all state changes in the caches are instantaneous.
3.2. Trace File Format
Your simulator must accept its input from trace files which have the format described here. Every line in the trace describes either a memory operation, or a command for your simulator to produce some output.
3.2.1. Memory operations
A memory access line in the trace consists of the processor identifier (e.g., P1), followed by a space, followed by the type of operation (R or W, for read or write, respectively), followed by another space, followed by the word address, and ending with a newline. Thus for instance, the line:
indicates a read by processor 2 to word 12. Memory operations must appear in the network in the order specified in the trace. Also, a memory operation cannot start until all the previous memory operations have been completely processed.
Note that neither the actual data value being written nor the register being used are specified. Thus, your simulator cannot keep track of real data. All that matters in calculating hit rate and invalidations is the sequence of addresses used.

Parallel Architectures Coursework 2: Cache Coherence
3.2.2. Output commands
An output command line in the trace consists of one of the following:
• v: indicates that full line-by-line explanation should be toggled, i.e. switched on (if it is currently off) or off (if it is currently on). The default is that it is off.
• p: indicates that the complete content of the cache should be output in some suitable format. A sample format is shown in table 1, but you are free to use your own format.
• h: indicates that the hit-rate achieved so far should be output (only a memory access that is served in its entirety in the local cache is considered a hit).
You are free to choose the actual wording of the explanations and other output. As a suggestion you can use: “A read by processor P2 to word 17 looked for tag 0 in cache- line/block 2, was found in state Invalid (cache miss) in this cache and found in state Modified in the cache of P1.”
For example, the meaning of the following trace file is shown in parenthesis, to the right of the commands (these comments are not actually present in the trace):
v (switch on line-by-line explanation) P0R17 (a read by processor 0 to word 17) P1R18 (a read by processor 1 to word 18) P2W17 (a write by processor 2 to word 17)
v (switch off line by line explanation) P2R25 (a read by processor 2 to word 25) P0R35 (a read by processor 0 to word 35)
p (print out the cache contents)
h (print out the hit rate)
4. Format of your submission
Submit an archive of your simulator and a soft copy of your report as follows, using the DICE environment:
$ submit pa cw2
4.1. Code guidelines
• You are free to use the programming language of your choice for this assignment.


Example (Processors: 2 | Cache Size: 2 lines)
0 13 S 18M P2 04S 1 32 M
Table 1: Possible format for the output command p

Parallel Architectures Coursework 2: Cache Coherence
• You must ensure that your code is readable: comment as needed and give descriptive names to functions, variables etc.
• Crucially, your archive must contain a bash script named run-script.sh that compiles (if applicable) and executes your code. The script must take as an argument the name of the trace to be run. In addition, if you have implemented an optimization, you must provide an argument to the script that enables the optimization. The
optimization should not be enabled by default.
• Your code must work on DICE.
• Your code must create a command-line output in response to trace output commands as explained in Section 3.2.2. In addition, your code must generate an output file whose name and format are explained in Appendix E.
4.2. Report guidelines
Your report must contain the following sections:
1. Code details: In this section you should: 1) specify which parts of the assignment are implemented, 2) provide an overview of your source code and how to run it, 3) specify how your optimization(s) can be enabled, when running your code.
2. Task-1: This section should be split in three subsections: 1) Show your statistics for the directory-based protocol for the two traces (as described in Appendix E). 2) Validation: as described in Section 2.1.2. 3) Analysis questions: provide answers to the questions of Section 2.1.3.
3. Task-2: This section should be split in three subsections: 1) A description of your optimization(s). 2) Show your statistics (as described in Appendix E) along with any additional statistics you deem necessary. 3) Validation: as described in Section 2.1.2
5. Reporting Problems
Send an email to for any issues regarding the assignment. References
[1] J. L. Hennessy and D. A. Patterson. Computer Architecture – A Quantitative Approach (5. ed.). , 2011.

Parallel Architectures Coursework 2: Cache Coherence
Appendices
A. Latency measurement
Please refer to the table 2 to calculate time taken in processor clock cycles by a particular system event.
Cache Probe (Tag and State access) Cache Access (Read or Write) Extra SRAM Access
Traversing One Hop
Clock Cycles
1 1 1 3 10
In this implementation, the directory is stored alongside the memory controller. You may assume that the directory maintains the state and the sharer information for all memory blocks. You may also assume that the directory is accessed in zero time. Routing is optimized in such a way that when a processor forwards data/acknowledgement to another processor, it will always take the shortest path. So, processor P0 will send a message to P1 in clockwise direction – whereas, P0 will send a message to P2 in anti-clockwise direction. If there are multiple sharers for a read miss, the directory will identify the sharer that is closest to the processor issuing the read request. Additionally, for a write miss, the data will also be forwarded along with the invalidation acknowledgements directly to the requesting processor, as before through the shortest path.
You may assume that the invalidations issued to all the caches overlap in time. The invalidation acknowledgements issued to the requester by all sharers also overlap in time. However, acknowledgements may take different number of hops to reach the requesting processor. In that case, the longest route will be considered while calculating latency. Note that, the requesting processor will act as a serialization point while sending invalidation messages. So, the requesting processor will count all the acknowledgements for invalidation messages before writing to the cacheline. For simplicity, assume that replacements from the cache are notified to directory to keep sharer vector intact at zero cost. Also, assume that the directory has an infinite capacity. So, the directory can maintain state for all the lines in all the local caches.
C. Custom Optimization
You are afforded a fixed SRAM budget of 1K bytes, which you are free to use in whatever way you like in order to reduce the average latency. You may allocate the entire budget
Memory Access latency
Table 2: Latency in clock cycles for various events in the network
B. Directory with data forwarding

Parallel Architectures Coursework 2: Cache Coherence
to one component or distribute it among various components in whatever proportion you like. For a given read or write request, accessing this extra SRAM component (or part of component in case your distribute it) will incur a fixed latency of 1 clock cycle. If you choose to allocate the budget towards one or more hardware structures that store data words, then you should assume that a data word is 8 bytes, and manage the 1KB SRAM accordingly. (Note that the size of a data word is not needed otherwise.)
D. Examples of measuring latency for the Directory-based protocol
D.1. Read at P1; Local cache line in M state
– Probing local cache to match tag and check the state : 1 cycle – Reading data from local cache : 1 cycle
– Total : 2 cycles
(The same would happen for these two cases: 1) Write at P1; Local cache line in M state; and 2)Read at P1; Local cache line in S state;)
D.2. Write at P1; Local cache line in I state, Remote cache line at P2, P3 in S state
– Probing local cache to match tag and check the state : 1 cycle
– Send message to directory to request data and invalidate other copies : 3 cycles
– Directory access: 0 cycles
– Directory sends message to P2 (the closest sharer for P1) to forward the data and invalidate the line: 3 cycles
– Directory sends message to P3 to invalidate the line : 0 cycles (overlapped with message to P2)
– Directory sends message to P1 to indicate how many acknowledgements to expect : 0 cycles (overlapped with message to P2)
– Probe cache at P2 to match tag and check the state : 1 cycle (change state from S to I) (P3 also invalidates its line in the same cycle)
– Probe cache at P3 and invalidate line: 0 cycle (overlapped with actions at P2)
– P3 sends invalidation acknowledgement to P1 : 6 cycles
– Access cache at P2 to forward data to P1 : 0 cycle (1 cycle overlapped with message from P3 to P1)

Parallel Architectures Coursework 2: Cache Coherence
– P2 sends invalidation acknowledgement + data to P1 : 0 cycle (3 cycle overlapped with message from P3 to P1)
– Write data to the local cache : 1 cycle
– Total : 15 cycles
(Note that, if P2 did not store the cache-line, then P3 would have to forward the data, in which case the 1-cycle latency of accessing the cache at P3 (to read out the cache-line), would be exposed. The total latency would then be 16 cycles)
D.3. Write at P1; Local cache line in I state, No other sharers
– Probing local cache to match tag and check the state : 1 cycle
– Send message to directory to request data from other sharers : 3 cycles
– Directory access: 0 cycles
– Directory receives data from memory after finding no on-chip sharers : 10 cycles – Directory sends data to P1 : 3 cycles
– P1 writes data to local cache : 1 cycle
– Total : 18
D.4. Write at P1; Local cache line in S state, Remote cache line at P2, P3 in S state
– Probing local cache to match tag and check the state : 1 cycle
– Send message to directory to invalidate other copies : 3 cycles
– Directory access: 0 cycles
– Directory sends message to P2 to invalidate the line: 3 cycles
– Directory sends message to P3 to invalidate the line : 0 cycles (overlapped with message to P2)
– Directory sends message to P1 to indicate how many acknowledgements to expect : 0 cycles (overlapped with message to P2)
– Probe cache at P2 to match tag and check the state : 1 cycle (change state from S to I) (P3 also invalidates its line in the same cycle)
– P3 sends invalidation acknowledgement to P1 : 6 cycles
– P2 sends invalidation acknowledgement to P1 : 0 cycles (3 cycles overlapped with message from P3)
– Write data to the local cache : 1 cycle
– Total : 15 cycles

Parallel Architectures Coursework 2: Cache Coherence
D.5. Read at P1; Local cache line in I state, Remote cache line at P2, P3 in S state
– Probing local cache to match tag and check the state : 1 cycle
– Send message to directory to request data from other sharers : 3 cycles
– Directory access: 0 cycles
– Directory sends message to P2 (the closest sharer for P1) to forward the line: 3 cycles – Probe cache at P2 to match tag and check the state : 1 cycle

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