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cs.DC2025
Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures
Mufakir Qamar Ansari, Mudabir Qamar Ansari
The paradigm shift towards multi-core and heterogeneous computing, driven by the fundamental power and thermal limits of single-core processors, has established energy efficiency a…
cs.DC2025
Accelerating Matrix Multiplication: A Performance Comparison Between Multi-Core CPU and GPU
Mufakir Qamar Ansari, Mudabir Qamar Ansari
Matrix multiplication is a foundational operation in scientific computing and machine learning, yet its computational complexity makes it a significant bottleneck for large-scale a…