Evolution of application-specific cache mappings

2020 ◽  
Vol 16 (3) ◽  
pp. 149-161
Author(s):  
Nam Ho ◽  
Paul Kaufmann ◽  
Marco Platzner
Keyword(s):  
Mapping Function ◽  
Optimization Procedure ◽  
Memory Address ◽  
Reconfigurable Caches ◽  
Metaheuristic Search ◽  
Index Mapping ◽  
Energy Consumptions ◽  
Block Sizes ◽  
Application Specific ◽  
Multi Core Processor

Reconfigurable caches offer an intriguing opportunity to tailor cache behavior to applications for better run-times and energy consumptions. While one may adapt structural cache parameters such as cache and block sizes, we adapt the memory-address-to-cache-index mapping function to the needs of an application. Using a LEON3 embedded multi-core processor with reconfigurable cache mappings, a metaheuristic search procedure, and MiBench applications, we show in this work how to accurately compare non-deterministic performances of applications and how to use this information to implement an optimization procedure that evolves application-specific cache mappings for the LEON3 multi-core processor.

scholarly journals Mapping Function Onto Neuronal Morphology

2007 ◽  
Vol 98 (1) ◽  
pp. 513-526 ◽  
Author(s):  
Klaus M. Stiefel ◽  
Terrence J. Sejnowski
Keyword(s):  
Pyramidal Neurons ◽  
Morphological Structure ◽  
Mapping Function ◽  
Optimization Procedure ◽  
Neuronal Morphology ◽  
Neuronal Function ◽  
Automated Mapping ◽  
Wide Range ◽  
Cortical Pyramidal Neurons ◽  
Apical Dendrites

Neurons have a wide range of dendritic morphologies the functions of which are largely unknown. We used an optimization procedure to find neuronal morphological structures for two computational tasks: first, neuronal morphologies were selected for linearly summing excitatory synaptic potentials (EPSPs); second, structures were selected that distinguished the temporal order of EPSPs. The solutions resembled the morphology of real neurons. In particular the neurons optimized for linear summation electrotonically separated their synapses, as found in avian nucleus laminaris neurons, and neurons optimized for spike-order detection had primary dendrites of significantly different diameter, as found in the basal and apical dendrites of cortical pyramidal neurons. This similarity makes an experimentally testable prediction of our theoretical approach, which is that pyramidal neurons can act as spike-order detectors for basal and apical inputs. The automated mapping between neuronal function and structure introduced here could allow a large catalog of computational functions to be built indexed by morphological structure.

Dimensioning a recovery boiler furnace using mathematical optimization

TAPPI Journal ◽  
2015 ◽  
Vol 14 (2) ◽  
pp. 119-129 ◽  
Author(s):  
VILJAMI MAAKALA ◽  
PASI MIIKKULAINEN
Keyword(s):  
Radial Basis Function Network ◽  
High Capacity ◽  
Mathematical Optimization ◽  
Optimization Procedure ◽  
Optimization Method ◽  
Performance Criteria ◽  
Boiler Furnace ◽  
Starting Point ◽  
Recovery Boiler ◽  
Base Design

Capacities of the largest new recovery boilers are steadily rising, and there is every reason to expect this trend to continue. However, the furnace designs for these large boilers have not been optimized and, in general, are based on semiheuristic rules and experience with smaller boilers. We present a multiobjective optimization code suitable for diverse optimization tasks and use it to dimension a high-capacity recovery boiler furnace. The objective was to find the furnace dimensions (width, depth, and height) that optimize eight performance criteria while satisfying additional inequality constraints. The optimization procedure was carried out in a fully automatic manner by means of the code, which is based on a genetic algorithm optimization method and a radial basis function network surrogate model. The code was coupled with a recovery boiler furnace computational fluid dynamics model that was used to obtain performance information on the individual furnace designs considered. The optimization code found numerous furnace geometries that deliver better performance than the base design, which was taken as a starting point. We propose one of these as a better design for the high-capacity recovery boiler. In particular, the proposed design reduces the number of liquor particles landing on the walls by 37%, the average carbon monoxide (CO) content at nose level by 81%, and the regions of high CO content at nose level by 78% from the values obtained with the base design. We show that optimizing the furnace design can significantly improve recovery boiler performance.

From biorefineries to bioproducts: conversion of pretreated pulp from biorefining streams to lignocellulose nanofibers

TAPPI Journal ◽  
2019 ◽  
Vol 18 (4) ◽  
pp. 233-241
Author(s):  
CHENGGUI SUN ◽  
RICHARD CHANDRA ◽  
YAMAN BOLUK
Keyword(s):  
Energy Consumption ◽  
Enzymatic Hydrolysis ◽  
Rheological Behavior ◽  
Material Basis ◽  
Softwood Pulp ◽  
Energy Consumptions ◽  
Hardwood Pulp ◽  
The Stability ◽  
Lignocellulose Nanofibers

This study investigates the use of pretreatment and enzymatic hydrolysis side streams and conversion to lignocellulose nanofibers. We used a steam-exploded and partial enzymatic hydrolyzed hardwood pulp and an organosolv pretreated softwood pulp to prepare lignocellulose nanofibers (LCNF) via microfluidization. The energies applied on fibrillation were estimated to examine the energy consumption levels of LCNF production. The energy consumptions of the fibrillation processes of the hardwood LCNF production and the softwood LCNF production were about 7040-14080 kWh/ton and 4640 kWh/ton on a dry material basis, respectively. The morphology and dimension of developed hardwood and softwood LCNFs and the stability and rheological behavior of their suspensions were investigated and are discussed.

Proposal and Evaluation of Mutual Exclusion Method using Lock-free Algorism for Embedded Systems using Multi-core Processor

2019 ◽  
Vol 139 (7) ◽  
pp. 802-811
Author(s):  
Kenta Fujimoto ◽  
Shingo Oidate ◽  
Yuhei Yabuta ◽  
Atsuyuki Takahashi ◽  
Takuya Yamasaki ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Mutual Exclusion ◽  
Exclusion Method ◽  
Multi Core Processor

Optimization Procedure for Improvement of Thermal Interruption Capability of Tandem-puffer Interrupting Chamber

2010 ◽  
Vol 130 (9) ◽  
pp. 819-825 ◽  
Author(s):  
Takeshi Shinkai ◽  
Keisuke Udagawa ◽  
Hiroshi Furuta ◽  
Akira Shimamura
Keyword(s):  
Optimization Procedure

Cluster Generation and Network Component Insertion for Topology Synthesis of Application-Specific Network-on-Chips

2012 ◽  
Vol E95-C (4) ◽  
pp. 534-545 ◽  
Author(s):  
Wei ZHONG ◽  
Takeshi YOSHIMURA ◽  
Bei YU ◽  
Song CHEN ◽  
Sheqin DONG ◽  
...  
Keyword(s):  
Cluster Generation ◽  
Application Specific ◽  
Network Component

Simulation Tool for Assignment Models: SIMASI

2014 ◽  
Vol 13 (8) ◽  
pp. 4723-4728
Author(s):  
Pratiksha Saxena ◽  
Smt. Anjali
Keyword(s):  
Optimization Procedure ◽  
Simulation Tool ◽  
Optimization Strategy ◽  
Performance Measurements ◽  
Integrated Simulation ◽  
Assignment Model ◽  
Classical Models ◽  
Simulation Results ◽  
User Friendly ◽  
Assignment Models

In this paper, an integrated simulation optimization model for the assignment problems is developed. An effective algorithm is developed to evaluate and analyze the back-end stored simulation results. This paper proposes simulation tool SIMASI (Simulation of assignment models) to simulate assignment models. SIMASI is a tool which simulates and computes the results of different assignment models. This tool is programmed in DOT.NET and is based on analytical approach to guide optimization strategy. Objective of this paper is to provide a user friendly simulation tool which gives optimized assignment model results. Simulation is carried out by providing the required values of matrix for resource and destination requirements and result is stored in the database for further comparison and study. Result is obtained in terms of the performance measurements of classical models of assignment system. This simulation tool is interfaced with an optimization procedure based on classical models of assignment system. The simulation results are obtained and analyzed rigorously with the help of numerical examples. 

PENGARUH KECENDERUNGAN PERUBAHAN CURAH HUJAN TERHADAP LONGSOR

2018 ◽  
Vol 2 ◽  
pp. 325
Author(s):  
Deyana Lutfita Kanos
Keyword(s):  
Stability Index ◽  
Index Mapping

<p>Tanah longsor merupakan bencana geologi terbesar ke tiga dan seringkali terjadi di beberapa wilayah di Indonesia seperti Kabupaten Kebumen yang sering mengalami tanah longsor yakni memiliki 580 kejadian longsor tersebar di 247 titik selama 7 tahun terakhir dikarenakan letak geografis daerah tropis yang memiliki curah hujan tinggi hingga 4000 mm/tahun yakni pada 1984.  Sehubungan dengan perubahan iklim, terdapat prediksi kecenderungan perubahan curah hujan pemicu longsor terbagi dalam tiga kategori; 51–100 mm/hari, 71–140 mm/3 hari, dan 81–160 mm/5 hari diperhitungkan menggunakan metode Mann-Kendall yang ditempatkan berdasarkan wilayah Poligon <em>Thiessen</em>. Identifikasi potensi tanah longsor menggunakan metode <em>Stability Index Mapping</em> (SINMAP) dengan variabel kemiringan lereng, jenis tanah, dan curah hujan. Analisis spasial bertujuan untuk memaparkan kaitan antara kecenderungan perubahan curah hujan terhadap kejadian longsor. Kaitan antara kecenderungan perubahan curah hujan yang di <em>overlay</em> dengan kejadian longsor dan potensi longsor merupakan tujuan dari penelitian ini sehingga dapat terlihat bagaimana kecenderungan curah hujan di masa mendatang pada lokasi potensi dan rawan tanah longsor. Hasil analisis kecenderungan perubahan curah hujan menunjukkan bahwa terdapat peningkatan curah hujan yang signifikan di beberapa wilayah seperti Karanganyar dan menurun seperti di Rantewringin. Kejadian longsor dan potensi longsor tinggi di dominasi pada bagian utara dan barat daya Kabupaten Kebumen, potensi sedang di sekitar potensi tinggi, dan potensi rendah paling mendominasi.<strong></strong></p><p><strong>Kata kunci</strong>: subjek <em>Kecenderungan, Curah Hujan, Mann-Kendall, Thiessen, Longsor, SINMAP, Sistem Informasi Geografi, Overlay, Analisis Spasial, Kebumen</em></p>

Sign in / Sign up

Export Citation Format

Share Document