v2.8.15

2.8.15 (2024-01-09)

Fix

• exporting quantization enums in Go (#336) (93c74c3), closes #336

Hashes

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Faster Double-Precision Math

As was discussed in the SciPy integration thread, Python libraries use double-precision floating-point numbers by default.
So, in this release, I've extended the spatial distance functions in the underlying SimSIMD - Cos, L2sq, IP with support for double arguments with specialized implementations on AVX-512-capable x86 CPUs and SVE-capable Arm CPUs.

Benchmarking SimSIMD vs. SciPy on Intel Sapphire Rapids CPU

• Vector dimensions: 1536
• Vectors count: 1000
• Hardware capabilities: serial, x86_avx2, x86_avx512, x86_avx2fp16, x86_avx512fp16, x86_avx512vpopcntdq, x86_avx512vnni
• NumPy BLAS dependency: openblas64
• NumPy LAPACK dependency: dep140640983012528

Between 2 Vectors, Batch Size: 1

Datatype	Method	Ops/s	SimSIMD Ops/s	SimSIMD Improvement
f64	scipy.cosine	63,612	572,605	9.00 x
f64	scipy.sqeuclidean	238,547	915,596	3.84 x
f64	numpy.inner	449,499	986,522	2.19 x

Between 2 Vectors, Batch Size: 1,000

Datatype	Method	Ops/s	SimSIMD Ops/s	SimSIMD Improvement
f64	scipy.cosine	68,962	1,457,172	21.13 x
f64	scipy.sqeuclidean	247,727	1,535,547	6.20 x
f64	numpy.inner	463,509	1,512,004	3.26 x

Benchmarking SimSIMD vs. SciPy on AWS Graviton 3

• Vector dimensions: 1536
• Vectors count: 1000
• Hardware capabilities: serial, arm_neon, arm_sve
• NumPy BLAS dependency: openblas64
• NumPy LAPACK dependency: openblas64

Between 2 Vectors, Batch Size: 1

Datatype	Method	Ops/s	SimSIMD Ops/s	SimSIMD Improvement
f64	scipy.cosine	40,729	725,382	17.81 x
f64	scipy.sqeuclidean	160,812	728,114	4.53 x
f64	numpy.inner	473,443	767,374	1.62 x
f64	scipy.jensenshannon	15,684	38,528	2.46 x
f64	scipy.kl_div	49,983	61,811	1.24 x

Between 2 Vectors, Batch Size: 1,000

Datatype	Method	Ops/s	SimSIMD Ops/s	SimSIMD Improvement
f64	scipy.cosine	41,130	1,460,850	35.52 x
f64	scipy.sqeuclidean	162,147	1,486,255	9.17 x
f64	numpy.inner	473,856	1,580,136	3.33 x

Hashes

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v2.8.13

2.8.13 (2023-11-18)

Docs

• badges, comparisons with clustering tools (05b3109)

Improve

• Faster exports for non-multi Indexes (48655a3)

Hashes

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v2.8.12

2.8.12 (2023-11-13)

Docs

• Typo in Java README (#307) (494b9f0), closes #307
• Update Java's step-by-step build instructions (#306) (63d8027), closes #306

Fix

• Dumping to uninitialized memory in Java (9eaa10d)
• Key type mismatch in Java (25dc6fc)
• Normalize bit-vector length for SimSIMD (#311) (8a77b3e), closes #311
• OOM error in Java (2589979), closes #308

Improve

• TypeScript annotations (#309) (6a5e009), closes #309

Make

• Trace used compiler (7d17eab)

Hashes

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v2.8.11

2.8.11 (2023-11-11)

Fix

• loading of native libs from Jar with NativeUtils.java (#305) (40bb2fb), closes #305

v2.8.10

2.8.10 (2023-11-11)

Docs

• Reorganized sections (7431f94)

Fix

• Detecting GCC and forwarding Py settings (28cd82c)

Hashes

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v2.8.9

2.8.9 (2023-11-09)

Docs

• Compiling NodeJS bindings on Lambdas (aeb3956)

Fix

• Unpacking JS batch requests (b761680), closes #303

Make

• Upgrade SimSIMD (39a926e)

test

• usearch-js expected results (cf1b58f)

Hashes

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v2.8.8

2.8.8 (2023-11-09)

Docs

• Fix benchmarks link (332b7d2)
• Spelling & punctuation (e67d5a9)

Make

• Forward compilation settings for JS/Py (3578c50)
• Forward SimSIMD settings (490a1e2)
• typo in .npmignore name (4beeed9)

v2.8.7

2.8.7 (2023-11-09)

Make

• pre-install submodules for NodeJS builds (472570d), closes #301

Hashes

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v2.8.6

2.8.6 (2023-11-06)

Make

• Globally configure env for Gradle (6d195ca)

Hashes

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• usearch_wasm_linux_arm64_2.8.6.tar.gz : eaba9cdd287e882e656843545797c488a147b6fcb9e0ba6a91bb432831ecd03b
• usearch_wasm_linux_x86_64_2.8.6.tar.gz : b4b47c8ac4c3f97373bd9d8c8fb4c21b2fcecc3dac9cb982d03d2f8a74e0f263
• usearch_wasm_macos_arm64_2.8.6.zip : 13bbdfb81ceac5eebfee867b94c1ca324b85d337c21cf3f59f35022fcb1efeb9
• usearch_wasm_macos_x86_64_2.8.6.zip : be9b595c50f313b490256eafa81ef78f218b15fc34c4298490f00c72d1a1379c
• usearch_wasm_windows_x64_2.8.6.tar.gz : ebe3e8e2f0e975f0dbefe3ba62d4c728c9f6363953e2938922084007e2f74e4c
• usearch_wasm_windows_x86_2.8.6.tar.gz : c65b885160693d83e3319115a88d74adde535a062dc399793470641c4821a577
• usearch_windows_x64_2.8.6.tar : caf40eb5237e9d93e70c0273ad81cee5248390a0286fc5eca236ddcf4c755a51
• usearch_windows_x86_2.8.6.tar : 241e928dcf25ffd51e26a16e298d07f4f3afc9dc30ec26069af746f06f935691