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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
The Malaysian Reserve

MicroCloud Hologram Inc. Utilizes FPGA to Accelerate Tensor Network Computing to Achieve Quantum Spin Models

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network ...
IEEE

Improved Modular Multiplication Algorithms Using Solely IEEE 754 Binary Floating-Point Operations

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...
IEEE

IrGEMM: An Input-Aware Tuning Framework for Irregular GEMM on ARM and X86 CPUs

Abstract: The matrix multiplication algorithm is a fundamental numerical technique in linear algebra and plays a crucial role in many scientific computing applications. Despite the high performance of ...