Katalog Tshirt Enzo terkini 2015. Merangkumi tshirt lengan pendek, tshirt lengan panjang, tshirt muslimah, cap yang lebih cantik dan berkualiti dengan harga yang sangat berpatutan. Semua pelanggan saya sukakannya. DIJAMIN PUAS HATI
Artículo Cientifico "Clustering of vety low energy particles"CARMEN IGLESIAS
This note compares different ways of reconstructing the clusters inside the ATHENA framework of ATLAS: Topocluster, Sliding Window Cluster, EGamma Cluster and cone algorithms. We show how these clustering algorithms can be turned to obtain the best energy resolution when reconstructing very low energy particles. The present results are based on single particle samples of pi0's, pi+'s, and neutrons, simulated with Geant3 during DC1 with energy between 1 and 30 GeV and simulated with and without electronic noise in the calorimeters. Results in this note are obtained using 7.8.0 and 8.2.0 releases of the ATLAS software.
The document is a presentation about optimizing algorithms using sentinel values. It discusses using sentinels to optimize linear searches, partition algorithms, and other algorithms. Sentinels allow modifying algorithms to avoid indexing and boundary checks, improving performance by up to 30% in some cases. The presentation emphasizes that introspection techniques like static if are needed to implement sentinels generically.
The document describes two modularizations of a KWIC (Key Word In Context) index program. The first modularization (D1) divides the program into input, circular shifter, alphabetizer, and output modules. The input module reads lines from a file, stores the words separated by a character, and keeps an index of line starts. This represents a classic procedural decomposition approach. The second modularization takes a different information hiding approach.
Katalog Tshirt Enzo terkini 2015. Merangkumi tshirt lengan pendek, tshirt lengan panjang, tshirt muslimah, cap yang lebih cantik dan berkualiti dengan harga yang sangat berpatutan. Semua pelanggan saya sukakannya. DIJAMIN PUAS HATI
Artículo Cientifico "Clustering of vety low energy particles"CARMEN IGLESIAS
This note compares different ways of reconstructing the clusters inside the ATHENA framework of ATLAS: Topocluster, Sliding Window Cluster, EGamma Cluster and cone algorithms. We show how these clustering algorithms can be turned to obtain the best energy resolution when reconstructing very low energy particles. The present results are based on single particle samples of pi0's, pi+'s, and neutrons, simulated with Geant3 during DC1 with energy between 1 and 30 GeV and simulated with and without electronic noise in the calorimeters. Results in this note are obtained using 7.8.0 and 8.2.0 releases of the ATLAS software.
The document is a presentation about optimizing algorithms using sentinel values. It discusses using sentinels to optimize linear searches, partition algorithms, and other algorithms. Sentinels allow modifying algorithms to avoid indexing and boundary checks, improving performance by up to 30% in some cases. The presentation emphasizes that introspection techniques like static if are needed to implement sentinels generically.
The document describes two modularizations of a KWIC (Key Word In Context) index program. The first modularization (D1) divides the program into input, circular shifter, alphabetizer, and output modules. The input module reads lines from a file, stores the words separated by a character, and keeps an index of line starts. This represents a classic procedural decomposition approach. The second modularization takes a different information hiding approach.
DConf 2016: Sociomantic & D by Leandro Lucarella (extended version)Andrei Alexandrescu
DConf 2016 talk. This is an extended deck, the slides actually presented are at http://www.slideshare.net/AndreiAlexandrescu2/dconf-2016-sociomantic-d-by-leandro-lucarella
Sociomantic has a long history with D dating back to the company's founders PhD work on D in 2006. The speaker joined Sociomantic in 2011 as their 4th D developer and helped with major projects like migrating D to 64-bit and porting their codebase from D1 to D2. Currently Sociomantic has around 30 D developers and has ported some of their applications and libraries to D2, but the migration is still ongoing with performance improvements still needed. Sociomantic aims to contribute more back to the D community through open sourcing their libraries and collaborating more closely with the D Foundation.
The document discusses techniques for optimizing memory usage through bit packing and value type polymorphism. It describes:
1. Bit packing techniques like storing multiple values in a single integer using bitwise operations to reduce memory usage. This includes examples of packing booleans and enums.
2. Using a "tagged union" approach to represent different value types polymorphically by storing a type tag and common data in a single value.
3. The concept of "value type polymorphism" where subtypes all fit within a size budget by using a tag to differentiate them while presenting a common API. This allows efficiently representing types in a compiler.
The document summarizes the D programming language compiler, including its organization with one front end and three back ends, major changes including converting the front end to D and using Dwarf exception handling. It describes the source code organization, types of compiles, memory allocation, strings, arrays, parsing, semantic analysis, lowering, constant folding, templates, inlining, and challenges in improving encapsulation, reducing complexity and memory usage.
DaNode is a simple and small web server written in D that allows running websites using any programming language as CGI scripts. It has fewer than 2000 lines of code, runs on Windows, Linux, and ARM, and allows serving multiple secure domains from a single server using SSL and SNI. While simple and useful for quick tasks, it does not fully implement web standards and its security has limitations, but it serves as a basis for further development and adding features from other frameworks like vibe.d.
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