//: Addresses help us spend less time copying data around. //: So far we've been operating on primitives like numbers and characters, and //: we've started combining these primitives together into larger logical //: units (containers or arrays) that may contain many different primitives at //: once. Containers and arrays can grow quite large in complex programs, and //: we'd like some way to efficiently share them between recipes without //: constantly having to make copies. Right now 'next-ingredient' and 'reply' //: copy data across recipe boundaries. To avoid copying large quantities of //: data around, we'll use *addresses*. An address is a bookmark to some //: arbitrary quantity of data (the *payload*). It's a primitive, so it's as //: efficient to copy as a number. To read or modify the payload 'pointed to' //: by an address, we'll perform a *lookup*. //: //: The notion of 'lookup' isn't an instruction like 'add' or 'subtract'. //: Instead it's an operation that can be performed when reading any of the //: ingredients of an instruction, and when writing to any of the products. To //: write to the payload of an ingredient rather than its value, simply add //: the /lookup property to it. Modern computers provide efficient support for //: addresses and lookups, making this a realistic feature. //: //: To recap: an address is a bookmark to some potentially large payload, and //: you can replace any ingredient or product with a lookup to an address of //: the appropriate type. But how do we get addresses to begin with? That //: requires a little more explanation. Once we introduce the notion of //: bookmarks to data, we have to think about the life cycle of a piece of //: data and its bookmarks (because remember, bookmarks can be copied around //: just like anything else). Otherwise several bad outcomes can result (and //: indeed *have* resulted in past languages like C): //: //: a) You can run out of memory if you don't have a way to reclaim //: data. //: b) If you allow data to be reclaimed, you have to be careful not to //: leave any stale addresses pointing at it. Otherwise your program might //: try to lookup such an address and find something unexpected. Such //: problems can be very hard to track down, and they can also be exploited //: to break into your computer over the network, etc. //: //: To avoid these problems, we introduce the notion of a *reference count* or //: refcount. The life cycle of a bit of data accessed through addresses looks //: like this. //: //: We create space in computer memory for it using the 'new' instruction. //: The 'new' instruction takes a type as an ingredient, allocates //: sufficient space to hold that type, and returns an address (bookmark) //: to the allocated space. //: //: x:address:number <- new number:type //: //: +------------+ //: x -------> | number | //: +------------+ //: //: That isn't entirely accurate. Under the hood, 'new' allocates an extra //: number -- the refcount: //: //: +------------+------------+ //: x -------> | refcount | number | //: +------------+------------+ //: //: This probably seems like a waste of space. In practice it isn't worth //: allocating individual numbers and our payload will tend to be larger, //: so the picture would look more like this (zooming out a bit): //: //: +-------------------------+ //: +---+ | //: x -------> | r | | //: +---+ DATA | //: | | //: | | //: +-------------------------+ //: //: (Here 'r' denotes the refcount. It occupies a tiny amount of space //: compared to the payload.) //: //: Anyways, back to our example where the data is just a single number. //: After the call to 'new', Mu's map of memory looks like this: //: //: +---+------------+ //: x -------> | 1 | number | //: +---+------------+ //: //: The refcount of 1 here indicates that this number has one bookmark //: outstanding. If you then make a copy of x, the refcount increments: //: //: y:address:number <- copy x //: //: x ---+ +---+------------+ //: +---> | 2 | number | //: y ---+ +---+------------+ //: //: Whether you access the payload through x or y, Mu knows how many //: bookmarks are outstanding to it. When you change x or y, the refcount //: transparently decrements: //: //: x <- copy 0 # an address is just a number, you can always write 0 to it //: //: +---+------------+ //: y -------> | 1 | number | //: +---+------------+ //: //: The final flourish is what happens when the refcount goes down to 0: Mu //: reclaims the space occupied by both refcount and payload in memory, and //: they're ready to be reused by later calls to 'new'. //: //: y <- copy 0 //: //: +---+------------+ //: | 0 | XXXXXXX | //: +---+------------+ //: //: Using refcounts fixes both our problems a) and b) above: you can use //: memory for many different purposes as many times as you want without //: running out of memory, and you don't have to worry about ever leaving a //: dangling bookmark when you reclaim memory. //: //: This layer implements creating addresses using 'new'. The next few layers //: will flesh out the rest of the life cycle. //: //: The tests in this layer use unsafe operations so as to stay decoupled from //: 'new'. //: todo: give 'new' a custodian ingredient. Following malloc/free is a temporary hack. :(scenario new) # call 'new' two times with identical types without modifying the results; you # should get back different results def main [ 1:address:number/raw <- new number:type 2:address:number/raw <- new number:type 3:boolean/raw <- equal 1:address:number/raw, 2:address:number/raw ] +mem: storing 0 in location 3 //: 'new' takes a weird 'type' as its first ingredient; don't error on it :(before "End Mu Types Initialization") put(Type_ordinal, "type", 0); :(code) bool is_mu_type_literal(const reagent& r) { return is_literal(r) && r.type && r.type->name == "type"; } :(before "End Primitive Recipe Declarations") NEW, :(before "End Primitive Recipe Numbers") put(Recipe_ordinal, "new", NEW); :(before "End Primitive Recipe Checks") case NEW: { const recipe& caller = get(Recipe, r); if (inst.ingredients.empty() || SIZE(inst.ingredients) > 2) { raise << maybe(caller.name) << "'new' requires one or two ingredients, but got " << to_original_string(inst) << '\n' << end(); break; } // End NEW Check Special-cases const reagent& type = inst.ingredients.at(0); if (!is_mu_type_literal(type)) { raise << maybe(caller.name) << "first ingredient of 'new' should be a type, but got " << type.original_string << '\n' << end(); break; } if (inst.products.empty()) { raise << maybe(caller.name) << "result of 'new' should never be ignored\n" << end(); break; } if (!product_of_new_is_valid(inst)) { raise << maybe(caller.name) << "product of 'new' has incorrect type: " << to_original_string(inst) << '\n' << end(); break; } break; } :(code) bool product_of_new_is_valid(const instruction& inst) { reagent/*copy*/ product = inst.products.at(0); // Update NEW product in Check if (!product.type || product.type->value != get(Type_ordinal, "address")) return false; drop_from_type(product, "address"); if (SIZE(inst.ingredients) > 1) { // array allocation if (!product.type || product.type->value != get(Type_ordinal, "array")) return false; drop_from_type(product, "array"); } reagent/*copy*/ expected_product("x:"+inst.ingredients.at(0).name); // End Post-processing(expected_product) When Checking 'new' return types_strictly_match(product, expected_product); } void drop_from_type(reagent& r, string expected_type) { if (r.type->name != expected_type) { raise << "can't drop2 " << expected_type << " from " << to_string(r) << '\n' << end(); return; } type_tree* tmp = r.type; r.type = tmp->right; tmp->right = NULL; delete tmp; } //: To implement 'new', a Mu transform turns all 'new' instructions into //: 'allocate' instructions that precompute the amount of memory they want to //: allocate. //: Ensure that we never call 'allocate' directly, and that there's no 'new' //: instructions left after the transforms have run. :(before "End Primitive Recipe Checks") case ALLOCATE: { raise << "never call 'allocate' directly'; always use 'new'\n" << end(); break; } :(before "End Primitive Recipe Implementations") case NEW: { raise << "no implementation for 'new'; why wasn't it translated to 'allocate'? Please save a copy of your program and send it to Kartik.\n" << end(); break; } :(after "Transform.push_back(check_instruction)") // check_instruction will guard against direct 'allocate' instructions below Transform.push_back(transform_new_to_allocate); // idempotent :(code) void transform_new_to_allocate(const recipe_ordinal r) { trace(9991, "transform") << "--- convert 'new' to 'allocate' for recipe " << get(Recipe, r).name << end(); for (int i = 0; i < SIZE(get(Recipe, r).steps); ++i) { instruction& inst = get(Recipe, r).steps.at(i); // Convert 'new' To 'allocate' if (inst.name == "new") { inst.operation = ALLOCATE; string_tree* type_name = new string_tree(inst.ingredients.at(0).name); // End Post-processing(type_name) When Converting 'new' type_tree* type = new_type_tree(type_name); inst.ingredients.at(0).set_value(size_of(type)); trace(9992, "new") << "size of " << to_string(type_name) << " is " << inst.ingredients.at(0).value << end(); delete type; delete type_name; } } } //: implement 'allocate' based on size :(before "End Globals") const int Reserved_for_tests = 1000; int Memory_allocated_until = Reserved_for_tests; int Initial_memory_per_routine = 100000; :(before "End Setup") Memory_allocated_until = Reserved_for_tests; Initial_memory_per_routine = 100000; :(before "End routine Fields") int alloc, alloc_max; :(before "End routine Constructor") alloc = Memory_allocated_until; Memory_allocated_until += Initial_memory_per_routine; alloc_max = Memory_allocated_until; trace(9999, "new") << "routine allocated memory from " << alloc << " to " << alloc_max << end(); :(before "End Primitive Recipe Declarations") ALLOCATE, :(before "End Primitive Recipe Numbers") put(Recipe_ordinal, "allocate", ALLOCATE); :(before "End Primitive Recipe Implementations") case ALLOCATE: { // compute the space we need int size = ingredients.at(0).at(0); if (SIZE(ingredients) > 1) { // array allocation trace(9999, "mem") << "array size is " << ingredients.at(1).at(0) << end(); size = /*space for length*/1 + size*ingredients.at(1).at(0); } // include space for refcount size++; trace(9999, "mem") << "allocating size " << size << end(); //? Total_alloc += size; //? Num_alloc++; // compute the region of memory to return // really crappy at the moment ensure_space(size); const int result = Current_routine->alloc; trace(9999, "mem") << "new alloc: " << result << end(); // save result products.resize(1); products.at(0).push_back(result); // initialize allocated space for (int address = result; address < result+size; ++address) { trace(9999, "mem") << "storing 0 in location " << address << end(); put(Memory, address, 0); } if (SIZE(current_instruction().ingredients) > 1) { // initialize array length trace(9999, "mem") << "storing " << ingredients.at(1).at(0) << " in location " << result+/*skip refcount*/1 << end(); put(Memory, result+/*skip refcount*/1, ingredients.at(1).at(0)); } Current_routine->alloc += size; // no support yet for reclaiming memory between routines assert(Current_routine->alloc <= Current_routine->alloc_max); break; } //: statistics for debugging //? :(before "End Globals") //? int Total_alloc = 0; //? int Num_alloc = 0; //? int Total_free = 0; //? int Num_free = 0; //? :(before "End Setup") //? Total_alloc = Num_alloc = Total_free = Num_free = 0; //? :(before "End Teardown") //? cerr << Total_alloc << "/" << Num_alloc //? << " vs " << Total_free << "/" << Num_free << '\n'; //? cerr << SIZE(Memory) << '\n'; :(code) void ensure_space(int size) { if (size > Initial_memory_per_routine) { tb_shutdown(); cerr << "can't allocate " << size << " locations, that's too much compared to " << Initial_memory_per_routine << ".\n"; exit(0); } if (Current_routine->alloc + size > Current_routine->alloc_max) { // waste the remaining space and create a new chunk Current_routine->alloc = Memory_allocated_until; Memory_allocated_until += Initial_memory_per_routine; Current_routine->alloc_max = Memory_allocated_until; trace(9999, "new") << "routine allocated memory from " << Current_routine->alloc << " to " << Current_routine->alloc_max << end(); } } :(scenario new_initializes) % Memory_allocated_until = 10; % put(Memory, Memory_allocated_until, 1); def main [ 1:address:number <- new number:type ] +mem: storing 0 in location 10 :(scenario new_array) def main [ 1:address:array:number/raw <- new number:type, 5 2:address:number/raw <- new number:type 3:number/raw <- subtract 2:address:number/raw, 1:address:array:number/raw ] +run: {1: ("address" "array" "number"), "raw": ()} <- new {number: "type"}, {5: "literal"} +mem: array size is 5 # don't forget the extra location for array size, and the second extra location for the refcount +mem: storing 7 in location 3 :(scenario new_empty_array) def main [ 1:address:array:number/raw <- new number:type, 0 2:address:number/raw <- new number:type 3:number/raw <- subtract 2:address:number/raw, 1:address:array:number/raw ] +run: {1: ("address" "array" "number"), "raw": ()} <- new {number: "type"}, {0: "literal"} +mem: array size is 0 # one location for array size, and one for the refcount +mem: storing 2 in location 3 //: If a routine runs out of its initial allocation, it should allocate more. :(scenario new_overflow) % Initial_memory_per_routine = 3; // barely enough room for point allocation below def main [ 1:address:number/raw <- new number:type 2:address:point/raw <- new point:type # not enough room in initial page ] +new: routine allocated memory from 1000 to 1003 +new: routine allocated memory from 1003 to 1006