Creating Stimulus and Stimulating Creativity:
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1 Creating Stimulus and Stimulating Creativity: Using the VMM Scenario Generator Jonathan Bromley Doulos Ltd, Ringwood, UK
2 2 Outline Introduction: motivation for scenarios The VMM Standard Library scenario generator Motivation for hierarchical scenarios Prototype VMM-compatible hierarchical scenarios Further opportunities and future work Summary
3 3 VMM testbench architecture... test_env env = new; env.run();... Focus of our attention: the stimulus generator Constraints; directed tests High level transactions Atomic transactions Generator Transactor Self Check Monitor Functional Coverage Checker Driver Properties Checker Monitor DUT
4 4 Motivation for scenarios VMM transactions can be randomized custom constraints Realistic DUTs need structured sequences of stimulus Stream of independently randomized transactions will not exercise interesting DUT behaviors Scenarios provide this and offer a natural way to express complex stimulus
5 5 Outline Introduction: motivation for scenarios The VMM Standard Library scenario generator Motivation for hierarchical scenarios Prototype VMM-compatible hierarchical scenarios Further opportunities and future work Summary
6 6 The VMM Scenario Generator Part of VMM Standard Library Most of the work is done for you automatically by macro `vmm_scenario_gen() Multiple levels of customization are possible Simple example on the next few slides Fuller description in section 3 of the printed paper
7 7 Scenario Generator Macro class XYZ_data extends vmm_data;... endclass : XYZ_data `vmm_channel(xyz_data) `vmm_atomic_gen(xyz_data, "XYZ atomic") `vmm_scenario_gen(xyz_data, "XYZ scenario") Creates... base for your scenarios predefined simple scenario scenario chooser generator (transactor) class XYZ_data_scenario class XYZ_data_atomic_scenario class XYZ_data_scenario_election class XYZ_data_scenario_gen
8 8 Scenario Generator Operation Verification environment Verification environment Scenario generator scenario_set [0] atomic burst items select_scenario select [1] [2] burst RMW copies of items generator's output channel Downstream transactor Downstream transactor
9 9 The Scenario Set within scenario-generator class Set of scenarios available for selection data_class_scenario scenario_set[$]; SystemVerilog queue By default, contains just one atomic scenario object Create instances of your own scenarios, add them to this queue It's an array of factory objects By default, scenario selector class chooses scenarios in cyclic order Make the choice random: gen.select_scenario.round_robin.constraint_mode(0); your scenario generator instance
10 10 What's in a Scenario? rand data_class items[$]; Array of transaction objects You apply constraints to the items[] array (in a derived class): class apb_rmw_scenario extends apb_data_scenario;... constraint read_modify_write { length == 2; desired number of entries in items[] items[0].kind == apb_data::read; items[1].kind == apb_data::write; items[0].address == items[1].address; } Generator chooses a scenario from scenario_set, then randomizes it
11 11 Multiple Scenarios in One Subclass rand int unsigned scenario_kind; choice within any subclass int APB_RMW, APB_BURST; constraint read_modify_write { if (scenario_kind == APB_RMW) { length == 2;... } } constraint burst { if (scenario_kind == APB_BURST) { length inside { 2, 4, 8, 16 };... } } scenario kind identifiers randomized property of base class How do we set up the kind-identifiers?
12 12 Creating Scenario Identifiers Identifier values created by scenario's constructor function new(); super.new(); APB_RMW = define_scenario("apb R-M-W", 2); APB_BURST = define_scenario("apb burst", 16); endfunction Establishes set of possible values for scenario_kind Largest length each scenario can take Unique named values automatically maintained, even if there are intermediate derived classes Low cost - scenario is constructed only once per generator You MUST define at least one scenario kind
13 13 The apply Method After the scenario has been randomized, its items are ready for delivery to the output channel Generator calls scenario's apply method to do this Default implementation (paraphrase): virtual task apply ( apb_data_channel channel, ref int unsigned n_insts); foreach (items[i]) channel.put(items[i].copy()); n_insts = items[i].size(); endtask reference to generator's output channel allows generator to count transactions Override apply to create procedural scenarios
14 14 Outline Introduction: motivation for scenarios The VMM Standard Library scenario generator Motivation for hierarchical scenarios Prototype VMM-compatible hierarchical scenarios Further opportunities and future work Summary
15 15 Motivation for hierarchical scenarios Compose scenarios from existing scenarios Saves coding effort Facilitates re-use Naturally express nested activities: layered protocols instruction streams high-level usage patterns
16 16 Outline Introduction: motivation for scenarios The VMM Standard Library scenario generator Motivation for hierarchical scenarios Prototype VMM-compatible hierarchical scenarios Further opportunities and future work Summary
17 Scenario Generator Operation (review) 17 Verification environment Verification environment Scenario generator scenario_set [0] atomic burst items select_scenario select [1] [2] burst RMW copies of items generator's output channel Downstream transactor Downstream transactor
18 18 Hierarchical Scenario Verification environment Verification environment Scenario generator select_scenario select scenario_set [0] [1] [2] [3] atomic burst RMW burst8- RMW0 burst burst8-rmw0 child items RMW items 9 10 Downstream transactor Downstream transactor
19 19 Problems to solve Hierarchical scenario must do most things that the generator currently does... choose a scenario randomize it deliver its items to the output channel Randomization may need additional constraints Awkward to write additional derived classes Need inline constraints like randomize...with {...} Allow for multiple levels of scenario hierarchy
20 20 Structuring a solution Hierarchical scenario must do most things that the generator currently does... choose a scenario use the generator's scenario selector randomize it deliver its items to the output channel this.randomize this.apply perform method of hierarchical scenario base class apply method may choose/perform child scenario(s)
21 Outline apply Method of Hierarchical Scenario 21 For each sub-scenario: ask generator to choose from its scenario_set ask the chosen sub-scenario to perform itself class apb_multi_scenario extends apb_data_hs;... randomized virtual task apply (...); property of apb_data_hs child; this scenario? repeat (number_of_scenarios) begin child = parent_generator.choose(...); child.perform(...); n_insts++; end endtask... endclass super.new(); customize choice customize randomization class apb_data_hs extends apb_data_scenario; apb_data_hs_gen parent_generator; function new (apb_data_hs_gen pg); parent_generator = pg; endfunction scenario has reference to its generator
22 22 The perform Method With no constrainer, mimics generator's behavior With a constrainer, custom randomization is easy to achieve class apb_data_hs extends apb_data_scenario;... users don't need to override this virtual task perform ( method in a derived scenario apb_data_channel channel, ref int unsigned n_insts, apb_data_hs_constrainer c = null ); if (c == null) strategy class to customize this.randomize(); randomization else c.do_randomize( this ); this.apply( channel, n_insts ); endtask
23 23 Custom constrainer Provides a convenient way to do randomize() with {...} class apb_burst8 extends apb_data_hs_constrainer; virtual function void do_randomize( apb_data_scenario it ); apb_rmw_burst_scenario s; assert ( $cast(s, it) ) else $error("bad constrainer"); s.randomize() with { scenario_kind == APB_BURST; Only one function to override! length == 8; ); virtual task perform ( apb_data_channel channel, endfunction ref int unsigned n_insts, endclass apb_data_hs_constrainer c = null ); if (c == null) this.randomize(); scenario else c.do_randomize( this ); this.apply( channel, n_insts ); endtask
24 24 Choosing a Scenario Expose generator's choice mechanism scenario calls this to choose a child scenario class apb_data_hs_gen extends apb_data_scenario_gen; virtual function apb_data_scenario choose allows user control of ( apb_data_hs_chooser c = null ); choice strategy if (c == null) default: same as this.select_scenario.randomize(); standard generator else c.choose(this.select_scenario); chooser class customizes choice return this.scenario_set[this.select_scenario.select]; endfunction return a reference to chosen... member of scenario set endclass
25 25 A Simple User-written Scenario An 8-word burst write followed by a read-modify-write to address 0 virtual task apply ( apb_data_channel channel, ref int unsigned n_insts ); choose a suitable scenario special_chooser ch = new; apb_burst_w8_constrainer c_w8 = new; apb_rmw_addr0_constrainer c_rmw0 = new; apb_data_hs child = parent_generator.choose(ch); child.perform(channel, n_insts, c_w8); child.perform(channel, n_insts, c_rmw0); randomize and apply randomize and apply endtask custom constraints
26 26 Outline Introduction: motivation for scenarios The VMM Standard Library scenario generator Motivation for hierarchical scenarios Prototype VMM-compatible hierarchical scenarios Further opportunities and future work Summary
27 27 Future work Better integration with existing VMM infrastructure Notifications, callbacks, logging Macros for convenience low overhead on top of existing VMM scenarios Re-entrancy define scenarios in terms of themselves with different constraints Debug and visibility
28 28 Further possibilities Co-ordinated parallel scenarios Each scenario can now choose to which channel it sends its sub-scenarios (argument to perform) A scenario can generate multiple scenarios in parallel virtual task apply (...);... apb_data_hs s_main = parent_generator.choose(...); apb_data_hs s_intrpt = parent_generator.choose(...); fork s_main.perform(main_gen.out_chan,...); s_intrpt.perform(irq_gen.out_chan,...); join endtask
29 29 Outline Introduction: motivation for scenarios The VMM Standard Library scenario generator Motivation for hierarchical scenarios Prototype VMM-compatible hierarchical scenarios Further opportunities and future work Summary
30 30 Summary Standard VMM scenarios are easy to use but customization can be laborious Hierarchical scenario generator is possible useful results from our prototype more work required to integrate fully with VMM some known limitations (not re-entrant) Planning for extensibility and re-use is challenging but inescapable
31 Thanks for your attention! Questions? Jonathan Bromley Doulos Ltd, Ringwood, UK
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