Hash Table UVM VIP (Verification IP) User Guide
📁 Directory Structure
uvm/
├── README.md [User guide and documentation]
├── common/ [Core VIP source files]
│ ├── ht_vip_pkg.sv [Main package + enums]
│ ├── ht_vip_config.sv [Configuration class]
│ └── ht_vip_seq_item.sv [Transaction definitions]
├── interface/ [Interface definition]
│ └── ht_vip_if.sv [Virtual interface]
├── agent/ [Agent layer components]
│ ├── ht_vip_driver.sv [Driver implementation]
│ ├── ht_vip_monitor.sv [Monitor implementation]
│ ├── ht_vip_sequencer.sv [Sequencer]
│ └── ht_vip_agent.sv [Agent wrapper]
├── env/ [Environment layer]
│ ├── ht_vip_env.sv [Environment]
│ └── ht_vip_scoreboard.sv [Checking with hash table model]
├── sequences/ [Test sequences]
│ ├── ht_vip_base_seq.sv [Base sequence]
│ ├── ht_vip_insert_seq.sv [Insert sequence]
│ ├── ht_vip_search_seq.sv [Search sequence]
│ └── ht_vip_delete_seq.sv [Delete sequence]
└── sim/ [Testbench]
├── tb_top.sv [Testbench top module]
└── tests/
├── ht_vip_base_test.sv [Base test class]
└── ht_vip_simple_test.sv [Simple, random & collision tests]
🚀 Quick Start
Step 1: Update interface signals in your testbench:
ht_vip_if dut_if(clk);
// Connect to DUT
uvm_config_db#(virtual ht_vip_if)::set(null, "*", "ht_vip_vif", dut_if);
Step 2: Configure DUT parameters in your test:
cfg = ht_vip_config::type_id::create("cfg");
cfg.KEY_WIDTH = 32;
cfg.VALUE_WIDTH = 32;
cfg.TOTAL_INDEX = 8;
cfg.CHAINING_SIZE = 4;
cfg.COLLISION_METHOD = "MULTI_STAGE_CHAINING";
cfg.HASH_ALGORITHM = "MODULUS";
uvm_config_db#(ht_vip_config)::set(this, "*", "ht_vip_cfg", cfg);
Step 3: Create environment:
ht_env = ht_vip_env::type_id::create("ht_env", this);
🚀 Available Sequences
Insert:
ht_vip_insert_seq insert_seq = ht_vip_insert_seq::type_id::create("insert_seq");
insert_seq.num_inserts = 10;
insert_seq.start(env.get_sequencer());
Search:
ht_vip_search_seq search_seq = ht_vip_search_seq::type_id::create("search_seq");
search_seq.num_searches = 10;
search_seq.start(env.get_sequencer());
Delete:
ht_vip_delete_seq delete_seq = ht_vip_delete_seq::type_id::create("delete_seq");
delete_seq.num_deletes = 5;
delete_seq.start(env.get_sequencer());
🧪 Available Tests
1. Simple Test
Basic insert, search, and delete operations:
vsim -c +UVM_TESTNAME=simple_test -do "run -all; quit"
2. Random Test
Random sequence of insert/search/delete operations:
vsim -c +UVM_TESTNAME=random_test -do "run -all; quit"
3. Collision Test
Stress test with many inserts to force hash collisions:
vsim -c +UVM_TESTNAME=collision_test -do "run -all; quit"
📋 Hash Table Operations
The VIP supports 3 operations matching the DUT (hash_table.sv):
| Operation | op_sel | Description | Inputs | Outputs |
|---|---|---|---|---|
| INSERT | 2'b00 | Insert key-value pair | key_in, value_in | op_done, op_error, collision_count |
| DELETE | 2'b01 | Delete key-value pair | key_in | op_done, op_error |
| SEARCH | 2'b10 | Search for key | key_in | value_out, op_done, op_error, collision_count |
✅ Self-Checking Features
The scoreboard automatically verifies:
- ✅ INSERT operations succeed when table not full
- ✅ INSERT operations fail when table is full
- ✅ SEARCH returns correct value for existing keys
- ✅ SEARCH fails for non-existent keys
- ✅ DELETE succeeds for existing keys
- ✅ DELETE fails for non-existent keys
- ✅ Error flag correctness
- ✅ Overall hash table integrity
🔧 Key Features
- Collision Handling: Supports chaining collision resolution
- Hash Algorithms: Supports MODULUS hash algorithm (extensible for SHA1, FNV1A)
- Configurable Size: TOTAL_INDEX and CHAINING_SIZE parameters
- Intelligent Scoreboard: Models hash table with SystemVerilog associative arrays
- Error Detection: Validates full table and key-not-found conditions
- Collision Tracking: Monitors collision_count output
📊 Hash Table Parameters
| Parameter | Default | Description |
|---|---|---|
| KEY_WIDTH | 32 | Width of key in bits |
| VALUE_WIDTH | 32 | Width of value in bits |
| TOTAL_INDEX | 8 | Number of hash table buckets |
| CHAINING_SIZE | 4 | Max chain length per bucket |
| COLLISION_METHOD | "MULTI_STAGE_CHAINING" | Collision resolution method |
| HASH_ALGORITHM | "MODULUS" | Hash function algorithm |
Maximum Capacity: TOTAL_INDEX × CHAINING_SIZE = 8 × 4 = 32 entries
🔍 Collision Handling
The hash table uses chaining to handle collisions:
- Hash Function:
hash_index = key % TOTAL_INDEX - Collision Resolution: Multiple keys mapping to same index are stored in a chain
- Chain Search: Linear search through chain to find/insert/delete keys
- Collision Count: DUT outputs number of items in chain
Example:
- Key 10 → hash_index = 10 % 8 = 2
- Key 18 → hash_index = 18 % 8 = 2 (collision!)
- Both stored at index 2 in chain positions 0 and 1
🚨 Common Issues & Solutions
Issue: Interface signal width mismatch
Solution: Update ht_vip_if.sv lines 7-14 to match your hash table's parameters:
logic [KEY_WIDTH-1:0] key_in;
logic [VALUE_WIDTH-1:0] value_in;
logic [VALUE_WIDTH-1:0] value_out;
Issue: Hash collisions causing failures
Solution:
- Increase CHAINING_SIZE parameter for more items per bucket
- Increase TOTAL_INDEX for more buckets
- Use different hash algorithm for better distribution
Issue: Search failing after insert
Solution: Check that:
- Same key is used for insert and search
- Sufficient delay between operations for op_done
- Table not full (INSERT would fail)
Future Work
- Add support for SHA1 and FNV1A hash algorithms
- Add support for LINEAR_PROBING collision method
- Add functional coverage for:
- Hash distribution uniformity
- Collision chain lengths
- Full table scenarios
- Performance analysis of different hash algorithms
📚 Example Usage
class my_test extends base_test;
`uvm_component_utils(my_test)
task run_phase(uvm_phase phase);
ht_vip_insert_seq insert_seq;
ht_vip_search_seq search_seq;
ht_vip_delete_seq delete_seq;
phase.raise_objection(this);
// Build hash table
insert_seq = ht_vip_insert_seq::type_id::create("insert_seq");
insert_seq.num_inserts = 15;
insert_seq.start(env.get_sequencer());
#500ns;
// Search for keys
search_seq = ht_vip_search_seq::type_id::create("search_seq");
search_seq.num_searches = 15;
search_seq.start(env.get_sequencer());
#500ns;
// Delete some entries
delete_seq = ht_vip_delete_seq::type_id::create("delete_seq");
delete_seq.num_deletes = 5;
delete_seq.start(env.get_sequencer());
#500ns;
phase.drop_objection(this);
endtask
endclass
🎯 Key Characteristics
- Fast Lookup: O(1) average case for insert/search/delete
- Collision Handling: Chaining method with configurable chain size
- Key-Value Storage: Maps 32-bit keys to 32-bit values
- Error Reporting: Signals table full and key-not-found conditions
- Collision Monitoring: Tracks number of collisions per operation
📈 Performance Considerations
Best Case: No collisions
- INSERT: 1 cycle to hash + 1 cycle to store
- SEARCH: 1 cycle to hash + 1 cycle to read
- DELETE: 1 cycle to hash + 1 cycle to delete
Worst Case: Full chain
- INSERT: 1 cycle to hash + CHAINING_SIZE cycles to search
- SEARCH: 1 cycle to hash + CHAINING_SIZE cycles to search
- DELETE: 1 cycle to hash + CHAINING_SIZE cycles to search + shift operations
🔬 Collision Test Strategy
The collision_test specifically stresses the hash table:
// Insert 30 items into 8 buckets (avg 3.75 items per bucket)
// With CHAINING_SIZE=4, this should trigger near-full conditions
insert_seq.num_inserts = 30;
This tests:
- Chain management
- Full bucket detection
- Search through chains
- Collision counter accuracy
Happy Verifying! 🚀
This VIP demonstrates advanced verification of hash table data structures with collision handling using UVM.