Results 11 to 20 of about 16,570 (263)
IEEE Access, 2023 Automatic Modulation Classification (AMC) is a technique used in wireless communication systems to identify the modulation type of received signals at the receiver.
Kuchul Jung +2 more
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CUDA Memory Optimizations for Large Data-Structures in the Gravit Simulator
Journal of Algorithms & Computational Technology, 2011 Modern GPUs open a completely new field to optimize embarrassingly parallel algorithms. Implementing an algorithm on a GPU confronts the programmer with a new set of challenges for program optimization.
Jakob Siegel +2 more
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Metrics, Noise Propagation Models, and Design Framework for Floating-Point Approximate Computing
IEEE Access, 2021 Approximate computing has emerged as an efficient solution for energy saving at the expense of calculation accuracy, especially for floating-point operation intensive applications, which have urgent demands for some uniform design frameworks for floating-
Yiyao Xiang +4 more
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Digital filter optimization for C language
Advances in Electrical and Computer Engineering, 2011 A method for transforming C code with floating-point values into C code with integer variables is developed. The objective is to avoid any operations with floating-point data types, thereby increasing the execution speed of the program on a ...
BARLEANU, A., BAITOIU, V., STAN, A.
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Algorithm for output of floating-point numbers in fixed-point form
Journal of Applied Sciences and Environmental Management, 2006 Input/output of data items and information are very common operations performed on computer systems. Various data types require special ways to perform these operations on them. Floating-point numbers are no exceptions.
CB Ndeekor
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Optimizing floating point operations in Scheme [PDF]
Computer Languages, 1999 Summary: It is well known that dynamic typing in languages like Lisp is costly in terms of performance. Besides the cost of tag checking, the other major source of inefficiency comes from the need to place and retrieve data from dynamically allocated objects, i.e. boxing and unboxing.
openaire +2 more sources
Numerical behavior of NVIDIA tensor cores [PDF]
PeerJ Computer Science, 2021 We explore the floating-point arithmetic implemented in the NVIDIA tensor cores, which are hardware accelerators for mixed-precision matrix multiplication available on the Volta, Turing, and Ampere microarchitectures.
Massimiliano Fasi +3 more
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BitFlow-Net: Toward Fully Binarized Convolutional Neural Networks
IEEE Access, 2019 Binarization can greatly compress and accelerate deep convolutional neural networks (CNNs) for real-time industrial applications. However, existing binarized CNNs (BCNNs) rely on scaling factor (SF) and batch normalization (BatchNorm) that still involve ...
Lijun Wu +6 more
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An Efficient Implementation of the Sign LMS Algorithm Using Block Floating Point Format
EURASIP Journal on Advances in Signal Processing, 2007 An efficient scheme is presented for implementing the sign LMS algorithm in block floating point format, which permits processing of data over a wide dynamic range at a processor complexity and cost as low as that of a fixed point processor.
Lee Moon Ho +2 more
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SensorsThe rapid advancement in AI requires efficient accelerators for training on edge devices, which often face challenges related to the high hardware costs of floating-point arithmetic operations.
Muhammad Junaid +5 more
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