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	<title>scientific software &#8211; BIOENGINEER.ORG</title>
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		<title>New algorithm halves the cost of quaternion matrix multiplication</title>
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		<pubDate>Sun, 25 Oct 2026 19:55:26 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[BLAS]]></category>
		<category><![CDATA[CUDA]]></category>
		<category><![CDATA[GPU computing]]></category>
		<category><![CDATA[Hadamard transform]]></category>
		<category><![CDATA[linear algebra]]></category>
		<category><![CDATA[matrix multiplication]]></category>
		<category><![CDATA[Numba]]></category>
		<category><![CDATA[NumPy]]></category>
		<category><![CDATA[Python]]></category>
		<category><![CDATA[quaternion neural networks]]></category>
		<category><![CDATA[quaternions]]></category>
		<category><![CDATA[scientific software]]></category>
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					<description><![CDATA[Researchers have released qmatmul, a Python package whose algorithm halves the floating-point multiplications needed for large quaternion matrix products and achieved speed-ups of up to roughly 15,300 times over a naive baseline on modern GPUs in their tests.]]></description>
		
		
		
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