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Multi-vector MaxSim benchmark with BYOTE factory #1027

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77cc936
Add benchmark crate for multi-vector
suri-kumkaran May 6, 2026
54a21ec
Move some repetetive code to macros and add more benchmark cases
May 6, 2026
f3a5d9f
Move some repetetive code to macros and add more benchmark cases
May 6, 2026
8efdbcd
Move some repetetive code to macros and add more benchmark cases
May 6, 2026
74d1cae
Merge branch 'main' into users/suryangupta/multi-vector-benchmark
suri-kumkaran May 7, 2026
3a89c37
Add Cargo.lock
suri-kumkaran May 7, 2026
96d17b3
Remove unused scalar benchmark config file
suri-kumkaran May 7, 2026
6b33719
Revert "Remove unused scalar benchmark config file"
suri-kumkaran May 7, 2026
d06df7e
Fold the new crate to existing diskann-benchmark crate
suri-kumkaran May 12, 2026
41ee380
Merge branch 'main' into users/suryangupta/multi-vector-benchmark
suri-kumkaran May 12, 2026
a64279e
Revamp the benchmark to be also kernel-research seam
suri-kumkaran May 14, 2026
94fd8de
Minor doc fix
May 14, 2026
9624da4
Merge branch 'main' into users/suryangupta/multi-vector-benchmark
suri-kumkaran May 18, 2026
f51bc2a
MaxSim benchmark with BYOTE factory
suri-kumkaran May 18, 2026
597330a
Address review comments
suri-kumkaran May 19, 2026
725ad08
Merge remote-tracking branch 'origin/main' into users/suryangupta/mul…
May 19, 2026
03d6119
Fix after main merge
May 19, 2026
3e6cd62
Merge branch 'main' into users/suryangupta/multi-vector-benchmark
suri-kumkaran May 25, 2026
86e527e
Address review comments
suri-kumkaran May 25, 2026
ac45fca
Add zero query tests
suri-kumkaran May 25, 2026
d7c577b
Address review comments
suri-kumkaran May 29, 2026
86a7fb8
Merge branch 'main' into users/suryangupta/multi-vector-benchmark
suri-kumkaran May 29, 2026
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3 changes: 3 additions & 0 deletions diskann-benchmark/Cargo.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -63,6 +63,9 @@ scalar-quantization = []
# Enable minmax-quantization based algorithms
minmax-quantization = []

# Enable multi-vector MaxSim distance benchmarks
multi-vector = []

# Enable Disk Index benchmarks
disk-index = [
"diskann-disk/perf_test",
Expand Down
47 changes: 47 additions & 0 deletions diskann-benchmark/example/multi-vector.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,47 @@
{
"search_directories": [],
"jobs": [
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"isa": "auto",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 2, "num_measurements": 1 },
{ "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 2, "num_measurements": 1 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"isa": "scalar",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 2, "num_measurements": 1 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"isa": "reference",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 2, "num_measurements": 1 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 2, "num_measurements": 1 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float16",
"isa": "auto",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 2, "num_measurements": 1 }
]
}
}
]
}
16 changes: 16 additions & 0 deletions diskann-benchmark/perf_test_inputs/multi-vector-tolerance.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,16 @@
{
"checks": [
{
"input": {
"type": "multi-vector-op",
"content": {}
},
"tolerance": {
"type": "multi-vector-tolerance",
"content": {
"min_time_regression": 0.05
}
}
}
]
}
149 changes: 149 additions & 0 deletions diskann-benchmark/perf_test_inputs/multi-vector.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,149 @@
{
"search_directories": [],
"jobs": [
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"isa": "auto",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"isa": "scalar",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"isa": "x86-64-v3",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"isa": "x86-64-v4",
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"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"isa": "reference",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float16",
"isa": "x86-64-v3",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float16",
"isa": "x86-64-v4",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float16",
"isa": "reference",
"runs": [
{ "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
}
]
}
2 changes: 2 additions & 0 deletions diskann-benchmark/src/backend/mod.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -9,11 +9,13 @@ mod disk_index;
mod exhaustive;
mod filters;
mod index;
mod multi_vector;

pub(crate) fn register_benchmarks(registry: &mut Registry) -> anyhow::Result<()> {
exhaustive::register_benchmarks(registry)?;
disk_index::register_benchmarks(registry)?;
index::register_benchmarks(registry)?;
filters::register_benchmarks(registry)?;
multi_vector::register_benchmarks(registry)?;
Ok(())
}
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