Nate's Wish List

Parallelize M5
- Converting everything to support the new Params mechanism is a prerequisite
- Make various global structures thread safe (e.g. Instruction cache, Statistics, etc.)
Unify full system and syscall emulation modes into a single build
Unify all ISAs into a single build
- This requires fixes to the way endianness is handled in the memory system.
- Add a NOISA option that doesn't have CPUs till this happens.
Modularize the build, allowing people to pick and choose which SimObjects get compiled in.
Make Python/C++ I/O systems work much better together. i.e. C++ can cprintf to python file objects, or Python can print to C++ iostreams.
Handle reading and writing of gzipped files
Make switching between CPU models way easier

Support something resembling direct execution using KVM.
Have a very fast model that dynamically compiles like PIN (or even use PIN).
Make a configurable in-order model
Make a very fast functional CPU model that doesn't have any stats or anything like that and is as fast as possible.
Clean up wakeup/sleeping/interrupts so the CPU models are more consistent and the interface isn't so horrendous.

Listen on a socket with cherrypy and allow people to browse and query the status of a simulation.

Clean up interrupt handling and route interrupts through the memory system as packets.
Implement something like SLICC for M5.
Implement the ARM instruction.

Support something like qemu's qcow2 disk image
- This is actually bsd code, so we can steal it
- Figure out how to mount it natively on linux so we don't have to convert back and forth to add stuff
Add host Linux file system support so the guest can easily access files on the host.
- Maybe support the host side of vmhgfs since the guest side already exists and is GPL.

Just clean this stuff up
Figure out a replacement for ptxdist.
- Currently think Gentoo is probably the best option.

Make all stats types actually work.
Move lots of stats processing to python. Keep collection in C++, but all of the printing stuff should go to python.
Add a sqlite backend.
Clean up and better integrate the graphing stuff.

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