Results 21 to 30 of about 259,090 (289)
FPGA-based floating-point datapath design for geometry processing [PDF]
, 1998 Geometry processing comprises of a great many computationally intensive floating-point operations. Real- time graphics systems generally use application-specific custom designed parallel hardware to provide the high performance computation power.
Xing, S, Yu, WWH
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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
doaj +2 more sources
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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A Modified Staggered Correction Arithmetic with Enhanced Accuracy and Very Wide Exponent Range [PDF]
, 2008 A so called staggered precision arithmetic is a special kind of a multiple precision arithmetic based on the underlying floating point data format (typically IEEE double format) and fast floating point operations as well as exact dot product ...
Blomquist, Frithjof, Hofschuster, Werner
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Solving Quadratic Programs to High Precision using Scaled Iterative Refinement [PDF]
, 2018 Quadratic optimization problems (QPs) are ubiquitous, and solution algorithms have matured to a reliable technology. However, the precision of solutions is usually limited due to the underlying floating-point operations.
Gleixner, Ambros +2 more
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Parallel Algorithms for Summing Floating-Point Numbers
, 2016 The problem of exactly summing n floating-point numbers is a fundamental problem that has many applications in large-scale simulations and computational geometry.
Eldawy, Ahmed, Goodrich, Michael T.
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Interval Arithmetic and Standardization [PDF]
, 2008 Interval arithmetic is arithmetic for continuous sets. Floating-point intervals are intervals of real numbers with floating-point bounds. Operations for intervals can be efficiently implemented.
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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
doaj +1 more source
Resolution of Nested Neuronal Representations Can Be Exponential in the Number of Neurons [PDF]
, 2012 Collective computation is typically polynomial in the number of computational elements, such as transistors or neurons, whether one considers the storage capacity of a memory device or the number of floating-point operations per second of a CPU. However,
Alexander Mathis +5 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
doaj +2 more sources