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Ephemeral Project. Project Tasks Ephemeral Unix/Linux C++ implementation MPP implementation Other. ?. Project Tasks. Compiler 1 Lexer/Parser Machine independent Semantic Analysis Linux implementation MPP Instruction Set Simulator MPP sem. analysis MPP code generation.
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Ephemeral Project • Project Tasks • Ephemeral • Unix/Linux C++ implementation • MPP implementation • Other ?
Project Tasks • Compiler 1 • Lexer/Parser • Machine independent Semantic Analysis • Linux implementation • MPP Instruction Set • Simulator • MPP sem. analysis • MPP code generation
Ephemeral language • Features: • Values: • integers (bit[..]) • Booleans are 1-bit integers • Char’s are 8-bit integers • Code • Port references • No block nesting • Abstraction and types: • Place – Ephemeral location has formal parameters • Code – holds code • Action – like a function • Port – transport between places • Bit[] – integers • Multi-line nested comments • Imperatives: • Send message • Place creation/designation • Low-level Control • Send code in messages • branching= send conditionally selected code • Expressions: • Arithmetic • Usual C operator set including conditional ?: • Binary (not hex) literals • Decimal literals • Code • Action name or formal • conditional • Port reference • Place name.port or formal • conditional
Compiler design • Flex lexer • Bison parser • custom semantics checks • Intermediate representation • Generate C++ code for Linux implementation • Generate Message code for MPP
Machine independent semantic analysis • Check that all referenced names are defined • Check that actual parameters types match formal • Check duplication of port references (ports and places are single-use)
Intermediate representation • Syntax tree • Action table • Code table • Message table • Place table • Message table • Syntax tree augmented with types &c.
Unix/Linux C++ implementation features • Compilation by translation to C++ • Unlimited places & place “creation” • C++: classname var; • Ephemeral: • placename var(); • placename var(time); • Built-in places for I/O • Complex expressions • Unlimited messages &c.
Unix/Linux C++ implementation • Gen C++ code • Ready place queue • Waiting place collection • function pointers • Error checking for MPP
C++ code generation • struct pn:public place { • Struct { code theworkf, int x, port p} Go; • }; • function work(pn &here){ • pn & nextnext = *new pn; • Here.Go.p->Go+=1;// special • Here.Go.p->Go .theworkf = here.Go.theworkf; • Here.Go.p->Go.x = here.Go.x+1; • Here.Go.p->Go.p = &nextnext; • }; • Place pn { • Go:( w theworkf, bit[1] x, pn.Go p); • Go; • }; • Action work(pn) { • pn nextnext; • p:( theworkf, x+1, nextnext.Go ); • }; • Code w { work; }; • // abstraction only
MPP implementation • Instruction set design • simulator • Space-time • Compilation considerations • locality
MPP implementation features • True Compilation • no place “creation” • Place “allocation” in relative space-time • C++: int * var = (int*)0x88446; • Use “(*var)” in code. • Ephemeral: • placename var( time_offset, location_offset ); • I/O ? • limited expressions • limited messages per place
Vibrating string simulation Use fixed finite elements Relatively simple coding. Ideal application Application topology exactly matches pipeline topology MPP application
MPP Instruction set design • Simplified architecture • 2 space-time dimensions • X,Y diagonal in space-time • 2 inputs and 2 outputs per “place”
MPP space-time topology • “Word” picture:
MPP Instruction set design • Message format: • “active” bit • 128 bit message data • Up to 8 fields • Field descriptor block • Defines up to 8 fields • Analyzed and generated automatically by proc.
MPP Instruction set design • (35 bit) Instruction • Permutation(16) • Operation • Opcode(5) • arg1(4) • arg2(4) • arg3(4) • Active message bits(2)
MPP Opcodes • (5 bit) Opcode • Usual C int operator support and conditional swap for • “?:” conditional operator • | ^ & < <= == >= > != + - * / % >> << - ~ !
MPP Instruction set design • Permutation(16 bits) • Re-arrange any four contiguous segments of the messages • Example: • 5,1,7,0 produces this -> • permutation 0,1 5, 7 5, 1, 7, 0
MPP simulator • Simulate an “array” of processors. • These processors have no “state”. The system state is entirely in the messages. • main data structure: • Array of messages • Simple simulation loops with possible optimization for locality
MPP instruction code generation • Fields: 35,8,8 • Active message: left • Permutation: 0,0,0,0 • Opcode: + • Args, 1,2,1 • Place pn { • Left:( w workcode, • Bit[ 8 ] x, • Bit[ 8 ] one, • ); • Left; • }; • Action work(pn) { • pn next(0,1); • Next.left:( workcode, x+one, one ); • }; • Code w { work; };
