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Mad macce: Supporting multiply-add operations for democratizing matrix-multiplication accelerators
Modern GPUs commonly employ specialized matrix multiplication units (MXUs) to
accelerate matrix multiplication, the core computation of deep learning workloads. However …
accelerate matrix multiplication, the core computation of deep learning workloads. However …
MixPert: Optimizing Mixed-Precision Floating-Point Emulation on GPU Integer Tensor Cores
Featuring mixed-precision tensor operations, accelerators significantly enhance
performance for many error-tolerant computing tasks, but their applicability is limited in …
performance for many error-tolerant computing tasks, but their applicability is limited in …
LE-GEMM: A lightweight emulation-based GEMM with precision refinement on GPU
Many special hardware units, such as Matrix Core and Tensor Core, have recently been
designed and applied in various scientific computing scenarios. These units support tensor …
designed and applied in various scientific computing scenarios. These units support tensor …
M3XU: Achieving High-Precision and Complex Matrix Multiplication with Low-Precision MXUs
Beyond the high-profile artificial intelligence and machine learning (AI/ML) workloads, the
demand for high-performance matrix operations on standard and complex floating-point …
demand for high-performance matrix operations on standard and complex floating-point …
Mixed-precision numerics in scientific applications: survey and perspectives
The explosive demand for artificial intelligence (AI) workloads has led to a significant
increase in silicon area dedicated to lower-precision computations on recent high …
increase in silicon area dedicated to lower-precision computations on recent high …
[كتاب][B] Democratizing Tensor Processors: Efficient and Generalized Tensor Computation with Architectural Support
Y Zhang - 2024 - search.proquest.com
Tensor processors, notably matrix units (MXUs), have become indispensable in accelerating
matrix operations for machine learning. However, their specialized design and limited …
matrix operations for machine learning. However, their specialized design and limited …