A survey on compiler autotuning using machine learning
Since the mid-1990s, researchers have been trying to use machine-learning-based
approaches to solve a number of different compiler optimization problems. These …
approaches to solve a number of different compiler optimization problems. These …
Unstructured un-split geometrical volume-of-fluid methods–a review
Abstract Geometrical Volume-of-Fluid (VoF) methods mainly support structured meshes, and
only a small number of contributions in the scientific literature report results with unstructured …
only a small number of contributions in the scientific literature report results with unstructured …
Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks
The growing energy and performance costs of deep learning have driven the community to
reduce the size of neural networks by selectively pruning components. Similarly to their …
reduce the size of neural networks by selectively pruning components. Similarly to their …
The design and operation of {CloudLab}
Given the highly empirical nature of research in cloud computing, networked systems, and
related fields, testbeds play an important role in the research ecosystem. In this paper, we …
related fields, testbeds play an important role in the research ecosystem. In this paper, we …
Toward trustworthy AI development: mechanisms for supporting verifiable claims
M Brundage, S Avin, J Wang, H Belfield… - ar**_High_Performance_RISC-V_Processors_Using_Agile_Methodology/links/6558bb9b3fa26f66f411c9fd/Towards-Develo**-High-Performance-RISC-V-Processors-Using-Agile-Methodology.pdf" data-clk="hl=nl&sa=T&oi=gga&ct=gga&cd=9&d=7789845862799799097&ei=gLmqZ5ybHMqL6rQP_OOf0AI" data-clk-atid="OXM6M4oXG2wJ" target="_blank">[PDF] researchgate.net
Towards develo** high performance RISC-V processors using agile methodology
Y Xu, Z Yu, D Tang, G Chen, L Chen… - 2022 55th IEEE/ACM …, 2022 - ieeexplore.ieee.org
While research has shown that the agile chip design methodology is promising to sustain
the scaling of computing performance in a more efficient way, it is still of limited usage in …
the scaling of computing performance in a more efficient way, it is still of limited usage in …