title: Environmental performance and firm financing during COVID-19 outbreaks: Evidence from SMEs

authors: Wellalage, Nirosha Hewa

subjects: COVID-19

abstract: The COVID-19 pandemic has resulted in substantial constraints for small and medium enterprises (SMEs) worldwide. The techniques in which SMEs handle recent crises and the degree to which environmental performance is advantageous when the marketplace experiences an adverse shock is fairly untouched in the literature. To assess this probability, we examine, using data from 6,597 SMEs in 13 developing countries, the effect of firm environmental efficiency on firm financing during the COVID-19 outbreak. We consider three aspects of external financing -- bank, non-bank and trade credit -- and suggest that it pays for firms to show devotion to environmental obligations in a global pandemic. Our research implies that the trust between a firm and its stakeholders, if it is based on environmental performance, pays off when the trust freefall during periods of shock and adversity.

text: Environmental performance and firm financing during COVID-19 outbreaks: Evidence from SMEs The COVID-19 pandemic has resulted in substantial constraints for small and medium enterprises (SMEs) worldwide. The techniques in which SMEs handle recent crises and the degree to which environmental performance is advantageous when the marketplace experiences an adverse shock is fairly untouched in the literature. To assess this probability, we examine, using data from 6,597 SMEs in 13 developing countries, the effect of firm environmental efficiency on firm financing during the COVID-19 outbreak. We consider three aspects of external financing -- bank, non-bank and trade credit -- and suggest that it pays for firms to show devotion to environmental obligations in a global pandemic. Our research implies that the trust between a firm and its stakeholders, if it is based on environmental performance, pays off when the trust freefall during periods of shock and adversity.

year: 2022-06-06

title: Computing the fast Fourier transform on SIMD microprocessors

authors: Blake, Anthony Martin

subjects: Fourier transform

abstract: This thesis describes how to compute the fast Fourier transform (FFT) of a power-of-two length signal on single-instruction, multiple-data (SIMD) microprocessors faster than or very close to the speed of state of the art libraries such as FFTW (“Fastest Fourier Transform in the West”), SPIRAL and Intel Integrated Performance Primitives (IPP).

The conjugate-pair algorithm has advantages in terms of memory bandwidth, and three implementations of this algorithm, which incorporate latency and spatial locality optimizations, are automatically vectorized at the algorithm level of abstraction. Performance results on 2- way, 4-way and 8-way SIMD machines show that the performance scales much better than FFTW or SPIRAL.

The implementations presented in this thesis are compiled into a high-performance FFT library called SFFT (“Streaming Fast Fourier Trans- form”), and benchmarked against FFTW, SPIRAL, Intel IPP and Apple Accelerate on sixteen x86 machines and two ARM NEON machines, and shown to be, in many cases, faster than these state of the art libraries, but without having to perform extensive machine specific calibration, thus demonstrating that there are good heuristics for predicting the performance of the FFT on SIMD microprocessors (i.e., the need for empirical optimization may be overstated).

text: Computing the fast Fourier transform on SIMD microprocessors This thesis describes how to compute the fast Fourier transform (FFT) of a power-of-two length signal on single-instruction, multiple-data (SIMD) microprocessors faster than or very close to the speed of state of the art libraries such as FFTW (“Fastest Fourier Transform in the West”), SPIRAL and Intel Integrated Performance Primitives (IPP).

The conjugate-pair algorithm has advantages in terms of memory bandwidth, and three implementations of this algorithm, which incorporate latency and spatial locality optimizations, are automatically vectorized at the algorithm level of abstraction. Performance results on 2- way, 4-way and 8-way SIMD machines show that the performance scales much better than FFTW or SPIRAL.

The implementations presented in this thesis are compiled into a high-performance FFT library called SFFT (“Streaming Fast Fourier Trans- form”), and benchmarked against FFTW, SPIRAL, Intel IPP and Apple Accelerate on sixteen x86 machines and two ARM NEON machines, and shown to be, in many cases, faster than these state of the art libraries, but without having to perform extensive machine specific calibration, thus demonstrating that there are good heuristics for predicting the performance of the FFT on SIMD microprocessors (i.e., the need for empirical optimization may be overstated).

year: 2012

title: Inspiring national indigenous legal education for Aotearoa New Zealand's Bachelor of Laws Degree: Phase One

authors: Ruru, Jacinta

subjects: tikanga Maori, LLB law degree, legal education in New Zealand, bilculturalism, bilinguaiism, bijuralism

abstract: This Issues Paper is the result of the first stage of a multi-year, three-phase national project. In it we review the literature and consider some of the preliminary opportunities relevant for the teaching
of Māori law as a foundation source of the Aotearoa New Zealand Bachelor of Laws (LLB) degree for the benefit of the legal profession and Aotearoa New Zealand society. We present ten key messages
as integral to this Issues Paper.

text: Inspiring national indigenous legal education for Aotearoa New Zealand's Bachelor of Laws Degree: Phase One This Issues Paper is the result of the first stage of a multi-year, three-phase national project. In it we review the literature and consider some of the preliminary opportunities relevant for the teaching
of Māori law as a foundation source of the Aotearoa New Zealand Bachelor of Laws (LLB) degree for the benefit of the legal profession and Aotearoa New Zealand society. We present ten key messages
as integral to this Issues Paper.

year: 2020-09-01