Top level testbench is located at hw/ip/kmac/dv/tb/tb.sv
. It instantiates the KMAC DUT module hw/ip/kmac/rtl/kmac.sv
. In addition, it instantiates the following interfaces, connects them to the DUT and sets their handle into uvm_config_db
:
pins_if
)pins_if
)The following utilities provide generic helper tasks and functions to perform activities that are common across the project:
Two compile-time configurations are tested:
kmac_masked
- this configuration enables internal secure data masking featureskmac_unmasked
- this configuration disables all internal security featuresA macro define EN_MASKING
is defined as a build option in hw/ip/kmac/dv/kmac_base_sim_cfg.hjson
, which is used to set the correct compile-time settings.
All common types and methods defined at the package level can be found in kmac_env_pkg
. Some of them in use are:
parameter int KMAC_NUM_SHARES = 2; parameter int KMAC_NUM_KEYS_PER_SHARE = 16; parameter bit [TL_AW-1:0] KMAC_FIFO_BASE = 32'h800; parameter bit [TL_AW-1:0] KMAC_FIFO_END = 32'FFC; // interrupt types typedef enum int { KmacDone = 0, KmacFifoEmpty = 1, KmacErr = 2; KmacNumIntrs = 3 } kmac_intr_e; // types of application interfaces typedef enum int { AppKeymgr, AppLc, AppRom } kmac_app_e; typedef virtual pins_if#(1) idle_vif; typedef virtual kmac_sideload_if sideload_vif // Helper function that returns the KMAC key size in bytes function automatic int get_key_size_bytes(kmac_pkg::key_len_e len); case (len) Key128: return 16; Key192: return 24; Key256: return 32; Key384: return 48; Key512: return 64; default: `uvm_fatal("kmac_env_pkg", $sformatf("%0s is an invalid key length", len.name())) endcase endfunction
KMAC testbench instantiates (already handled in CIP base env) tl_agent which provides the ability to drive and independently monitor random traffic via TL host interface into KMAC device.
The KMAC testbench instantiates a push_pull_agent
in Pull
mode as the agent modelling the EDN interface (this is already handled in the CIP base classes). This agent will return random data as entropy after a random delay any time the KMAC sends a request.
The KMAC testbench instantiates an array of kmac_app_agent
to model the application interfaces used by other IP blocks to request a KMAC hash operation on some data. These interfaces are used to send in message data to the KMAC, and to receive an output digest.
The KMAC RAL model is created with the ralgen
FuseSoC generator script automatically when the simulation is at the build stage.
It can be created manually by invoking regtool
:
The KMAC testbench utilizes a C++ reference model for various hashing operations (SHA3, SHAKE, CSHAKE, KMAC) to check the DUT's digest output for correctness.
All test sequences reside in hw/ip/kmac/dv/env/seq_lib
. The kmac_base_vseq
virtual sequence is extended from cip_base_vseq
and serves as a starting point. All test sequences are extended from kmac_base_vseq
. It provides commonly used handles, variables, functions and tasks that the test sequences can simple use / call. Some of the most commonly used tasks / functions are as follows:
set_prefix()
- This task encodes 2 input strings (function name and customization string) into a bytestream as per NIST standard specifications and writes the data to the PREFIX
CSRswrite_msg()
- This task breaks down the input messages into chunks less than or equal to the TLUL bus size, and writes each chunk to the message FIFO window of the KMACread_digest_shares()
- This task reads the output digest data from the STATE_SHARE
windows, manually squeezing (polling for more output data) as necessaryTo ensure high quality constrained random stimulus, it is necessary to develop a functional coverage model. Please refer to the covergroups section under testplan for coverpoints that are implemented.
The kmac_scoreboard
is primarily used for end to end checking. It creates the following analysis ports to retrieve the data monitored by corresponding interface agents:
The KMAC scoreboard implements a cycle-accurate model of the DUT that is used to thoroughly check the operation of the KMAC IP. Though complex to implement, this is extremely useful for CSR prediction as many of the status fields rely on exact timing of the design (e.g. CSR fields that reflect the internal message FIFO pointers need to be predicted in the scoreboard on the exact cycle that they are updated in the design otherwise it will result in prediction mismatches).
The cycle-accurate model is also designed to check the operation of the various application interfaces as well as the EDN interface to provide full confidence in the design's correctness.
In addition to the cycle-accurate model, the scoreboard tracks the input message as it is written to the message FIFO in chunks, assembles it into a full bytestream, and uses this complete message as input for the DPI-C++ reference model to produce the expected digest value. As the test sequence reads the output STATE_SHARE windows after a hash operation, the scoreboard will assemble the read digest data into the actual digest value, which can easily be compared against the output of the C++ reference model.
tb/kmac_bind.sv
binds the tlul_assert
assertions to the IP to ensure TileLink interface protocol compliance.We are using our in-house developed regression tool for building and running our tests and regressions. Please take a look at the link for detailed information on the usage, capabilities, features and known issues. Here's how to run a smoke test:
$ $REPO_TOP/util/dvsim/dvsim.py $REPO_TOP/hw/ip/kmac/dv/kmac_${VARIANT}_sim_cfg.hjson -i kmac_smoke
In this run command, $VARIANT can be masked
or unmasked
.