intel-mkl
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New Sparse Matrix Storage Format: Contiguous Clustering (CC) A novel storage format for diagonally dominant sparse matrices, designed to minimize memory usage and accelerate SpMV operations.The CC format clusters non-zero elements along matrix diagonals, storing only essential metadata such as start indices and offsets.
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Jun 1, 2025 - C
Python bindings for KortexDL - High-performance C++20 neural network framework with Intel MKL acceleration. Easy-to-use Python API with NumPy compatibility.
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Jan 30, 2026 - Jupyter Notebook
Compact Software Suite for Scientific Development - Linear Algebra
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Feb 4, 2026 - C++
High-performance C++20 neural network framework powered by Intel oneAPI MKL 2025.2. Optimized for CPU-based deep learning inference and training.
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Jan 30, 2026 - C++
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