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in a parallel manner; they make full use of their multiport split memory to do something like eight times as much work/cycle as a (heavily pipelined!) Nike Men's Jackets Sale Core 2 Duo. To do that efficiently on an OoO machine you'd probably need three sets of instructions for memory accesses to the stack two sets for where you know ahead of time which part of memory you're dealing with and one for where you don't. They reorder memory access based on addresses. Yes, you know which things are heap allocated and which are stack allocated, so you have some language level disambiguation that way, but within a functional operation like map, reduce, fold, etc., you have perfect knowledge about which data is touched in what way, so you could potentially do something like use a compiler managed scratchpad for it instead of a cache. The compiler would have perfect timing, bank conflict, etc. information, so it should be able to an awesome job of scheduling and use much less energy than a hardware managed cache. Will be interesting to see how much of this kind of thing is done as we come up Nike Jackets Orange

if you know more. Jach 1173 days ago linkpatrickgzill 1172 days ago linkI quickly skimmed the paper but did not see any references to the Symbolics LISP machine CPUs which as I understand it had programmable or reconfigurable microcode, which supported the LISP machine features. Even device drivers could be written in Lisp. AFAIK, this assumes a purely functional language, namely Haskell. I'm not sure about the variant of Lisp used in the LISP Machines, but it's probably rather different (eg. uses assignment, etc). .

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a CPU designed for functional programs

From the abstracts and conclusions, I'll summarize a few main points that I got from this:1. The functional CPU is implemented in an FPGA (a type of programmable chip) at 96Mhz2. It performed about 25% as fast as a Core 2 Duo clocked at 3Ghz, which, while slow, is an order of magnitude better than procedural implementations on FPGAs3. It took advantage of significant parallelism on the circuit level which is not available to modern processorsIt seems that if some effort went into perfecting these chips as we do with procedural chips, we could see vast performance increases. You should even scale that out with multiple "cores" representing multiple programs running on the same machine. I'm just guessing, but seems like you should see an order of magnitude increase on similarly specified chips. At the outer most levels of memory many things rely on the ability of 'memory' to be treated as either 'data' or 'instructions'. JIT compilation for instance. This would imply that to run general code there needs to be a separation process similar to what occurs between the L2 and L1 caches in current processors. I'm not sure this ultimately would result in a performance increase for general purpose processors. saulrh 1173 days ago linkThis is an extension on another paper from a few years ago where they described the split architecture; this paper describes some optimizations for the hardware and the compiler they use with it. Its hardware can detect and break down functional code and run it Nike Windrunner Men Black

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