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Speed improvements in memory systems have not kept pace with the speed improvements of processors, leading to embedded systems whose performance is limited by the memory. This book presents design techniques for fast, energy-efficient and timing-predictable memory systems that achieve high performance and low energy consumption. In addition, the use of scratchpad memories significantly improves the timing predictability of the entire system, leading to tighter worst case execution time bounds.

There has been much recent progress in global optimization algo­ rithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. Convex analysis plays a fun­ damental role in the analysis and development of global optimization algorithms. This is due essentially to the fact that virtually all noncon­ vex optimization problems can be described using differences of convex functions and differences of convex sets. A conference on Convex Analysis and Global Optimization was held during June 5 -9, 2000 at Pythagorion, Samos, Greece. The conference was honoring the memory of C. Caratheodory (1873-1950) and was en­ dorsed by the Mathematical Programming Society (MPS) and by the Society for Industrial and Applied Mathematics (SIAM) Activity Group in Optimization. The conference was sponsored by the European Union (through the EPEAEK program), the Department of Mathematics of the Aegean University and the Center for Applied Optimization of the University of Florida, by the General Secretariat of Research and Tech­ nology of Greece, by the Ministry of Education of Greece, and several local Greek government agencies and companies. This volume contains a selective collection of refereed papers based on invited and contribut­ ing talks presented at this conference. The two themes of convexity and global optimization pervade this book. The conference provided a forum for researchers working on different aspects of convexity and global opti­ mization to present their recent discoveries, and to interact with people working on complementary aspects of mathematical programming.

There has been much recent progress in global optimization algo­ rithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. Convex analysis plays a fun­ damental role in the analysis and development of global optimization algorithms. This is due essentially to the fact that virtually all noncon­ vex optimization problems can be described using differences of convex functions and differences of convex sets. A conference on Convex Analysis and Global Optimization was held during June 5 -9, 2000 at Pythagorion, Samos, Greece. The conference was honoring the memory of C. Caratheodory (1873-1950) and was en­ dorsed by the Mathematical Programming Society (MPS) and by the Society for Industrial and Applied Mathematics (SIAM) Activity Group in Optimization. The conference was sponsored by the European Union (through the EPEAEK program), the Department of Mathematics of the Aegean University and the Center for Applied Optimization of the University of Florida, by the General Secretariat of Research and Tech­ nology of Greece, by the Ministry of Education of Greece, and several local Greek government agencies and companies. This volume contains a selective collection of refereed papers based on invited and contribut­ ing talks presented at this conference. The two themes of convexity and global optimization pervade this book. The conference provided a forum for researchers working on different aspects of convexity and global opti­ mization to present their recent discoveries, and to interact with people working on complementary aspects of mathematical programming.

You don't have to accept slow Ruby or Rails performance. In this comprehensive guide to Ruby optimization, you'll learn how to write faster Ruby code--but that's just the beginning. See exactly what makes Ruby and Rails code slow, and how to fix it. Alex Dymo will guide you through perils of memory and CPU optimization, profiling, measuring, performance testing, garbage collection, and tuning. You'll find that all those "hard" things aren't so difficult after all, and your code will run orders of magnitude faster.This is the first book ever that consolidates all the Ruby performance optimization advice in one place. It's your comprehensive guide to memory optimization, CPU optimization, garbage collector tuning, profiling, measurements, performance testing, and more.You'll go from performance rookie to expert. First, you'll learn the best practices for writing Ruby code that's easy not only on the CPU, but also on memory, and that doesn't trigger the dreaded garbage collector. You'll find out that garbage collection accounts for 80% of slowdowns, and often takes more than 50% of your program's execution time. And you'll discover the bottlenecks in Rails code and learn how selective attribute loading and preloading can mitigate the performance costs of ActiveRecord.As you advance to Ruby performance expert, you'll learn how profile your code, how to make sense out of profiler reports, and how to make optimization decisions based on them. You'll make sure slow code doesn't creep back into your Ruby application by writing performance tests, and you'll learn the right way to benchmark Ruby. And finally, you'll dive into the Ruby interpreter internals to really understand why garbage collection makes Ruby so slow, and how you can tune it up. What You Need:Some version of Ruby. The advice from this book applies to all modern Ruby versions from 1.9 to 2.2. 80% of the material will also be useful for legacy Ruby 1.8 users, and there is 1.8-specific advice as well.

What sets this 64GB (4x16GB) 288-Pin RDIMM DDR4 (PC23400) 2933MHz Memory Upgrade Kit apart is its meticulous design and optimization for Mac Pro 2019 models. Crafted by OWC, a brand synonymous with high-quality and reliable Mac upgrades, this memory kit is engineered to enhance your Mac's performance, making it faster and more efficient.This memory upgrade kit is not just a product; it's a solution tailored to your Mac's needs. It's built with the highest-quality components, adhering to the exact speed, capacity, and programming specifications of nearly every upgradeable Apple computer. The outcome is JEDEC-compliant memory that seamlessly fits into your Mac, ensuring a swift and stable performance upgrade.The OWC memory upgrade kit is more than just a one-time enhancement; it's a long-term investment in your Mac's performance and lifespan. Each memory module is hand-checked and rigorously tested at each stage of the manufacturing process. But the quality assurance doesn't stop there. OWC maintains state-of-the-art facilities that house nearly every Mac model manufactured over the past two decades. This allows for comprehensive testing in actual machines, ensuring that the OWC memory is optimized to deliver a lifetime of superior performance in your Mac.Embrace your DIY spirit with this memory upgrade kit. OWC makes the installation process straightforward with step-by-step install videos and included toolkits. If you need assistance, OWC's award-winning tech experts are ready to guide you through your upgrade via phone, chat, or email. In essence, this 64GB (4x16GB) 288-Pin RDIMM DDR4 (PC23400) 2933MHz Memory Upgrade Kit for Mac Pro 2019 models is the perfect blend of high speed, large capacity, and reliable performance. It's not just a memory upgrade; it's the key to unlocking your Mac's full potential.

After extensive testing and optimization, the Atlas Ultra 165GB CFexpress 2.0 Type-B Memory Card emerges as a high-speed, reliable, and durable solution for professional filmmakers and advanced photographers. This compact memory card is designed to handle the most demanding video recording and continuous burst mode shooting scenarios, offering a superior performance edge in high-end workflows.The Atlas Ultra CFexpress card boasts an impressive maximum read speed of 1700MB/s and a minimum sustained write speed of 1300MB/s, making it one of the fastest and most reliable CFexpress cards on the market. This high-speed performance allows users to fully unleash their camera's capabilities, capturing stunning 8K RAW video in slow motion and ultra-high-resolution burst mode shots with ease.Compatible with a wide range of DSLR and mirrorless cameras, this memory card is perfect for use with cinema cameras like the Nikon Z9, Canon R5C, and RED V-Raptor. In fact, it's one of the few media cards that meet RED Digital Cinema's rigorous test standards and is officially approved for use with their RED V-Raptor Cinema camera.The Atlas Ultra CFexpress card is not just about speed and compatibility, it's also built to last. It's resistant to impact, bend, shock, ESD, UV rays, and x-rays, ensuring your data remains safe even in the toughest environmental conditions. This robust durability, combined with its large 165GB capacity, makes it an ideal choice for advanced sports and wildlife photographers who need a fast, cost-effective solution for their high-resolution shooting needs.With the Atlas Ultra CFexpress card, you can shoot, store, and swap your data anywhere, with total peace of mind. Its built-in protection mechanism automatically reduces speed to prevent heat damage, ensuring a safe handling temperature even during intensive use. For optimal performance, it's recommended to use a high-quality CFexpress Type-B memory card reader, such as the OWC Atlas FXR, which has been specifically designed for effective heat dissipation.In conclusion, the Atlas Ultra 165GB CFexpress 2.0 Type-B Memory Card is a high-capacity, high-speed, and highly reliable storage solution that delivers the quality output you need when capturing those once-in-a-lifetime moments. Trust in the Atlas Ultra CFexpress card to deliver the performance you're counting on.

On To The Next Level VideographyNextorage NX-B1PRO Series PCIe 3.0 x 2, NVMe 1.4 CFexpress Type-B memory card enables optimization for professional filmmaking and maximizes the potential of the latest cameras while it maintains the quality of the image as well as stability of its performance.Extreme 8K Recording• Max Read 1950 MB/s• Max Write 1900 MB/sNextorage NX-B1PRO Series provides read speed of up to 1,950 MB/s : near-max theoretical speed of CFexpress Type-B, writing speed up to 1,900 MB/s for faster buffer clearance and RAW/8K video recording at high bitrates.Min Sustained Write 1800 MB/sA minimum sustained write speed of 1,800 MB/s supporting VPG400 (guaranteed minimum sustained write speed of 400 MB/s) for all capacities ranging from 165 GB to 1,330 GB: ideal for high-speed continuous shooting of RAW images as well as 8K video recording at higher bit rates without dropping frames with the latest high-performance mirrorless cameras.VPG400 is defined by Compact Flash Association. VPG stands for Video Performance Guarantee. It guarantees 400 MB/s sustained write speed when a camera records data with VPG400 manner.Canon EOS R3, EOS R5 and EOS R5C support VPG400 video recording. Since Canon recommends to use CFexpress supporting VPG400, Nextorage strongly recommends to use NX-B1PRO series.Dynamic Auto Power Save"Dynamic Auto Power Save" has an automatic function to adjust the host/card to an appropriate low power consumption mode while recoding. It finds time to conserve the power during non-writing process. This function/technology enables NX-B1PRO series to eliminate up to 68% of power consumption while recording in comparison to the other models without it.Dynamic Auto Power Save prevents the cards from generating heat, which makes it possible for mirror-less cameras to record up to 1.74 times longer while writing RAW images/videos/media unlike other generic CFexpress Type-B Cards.Durability TestedExterior durability is tested in an environment compliant with CompactFlash Association regulations:• Operating Temperature Resistance: 14 Degree F to 158 Degree F• Shock Resistance• X-ray Resistance• UV Resistance• Magnetic Resistance• Anti-StaticCompatibilityNextorage is testing the operation in various recording modes with the latest high-end cameras.Memory Card File RescueSometimes, things can go wrong and you might accidentally delete files or photos. Nextorage's easy-to-use tool, Memory Card File Rescue app, recovers your precious data. Available as free download for Nextorage memory card owners.Note: Does not support data recovery for content protected and game data files. Not all data may be recoverable.

Boost your computer's speed, power, and stability with advanced PC tune-up. System Mechanic provides the essential optimization toolset to clean hard drive clutter, repair your registry, defragment drives and memory, and optimize system and internet settings.

In iOS and macOS™ Performance Tuning, Marcel Weiher drills down to the code level to help you systematically optimize CPU, memory, I/O, graphics, and program responsiveness in any Objective-C, Cocoa, or CocoaTouch program.   This guide focuses entirely on performance optimization for macOS and iOS. Drawing on more than 25 years of experience optimizing Apple device software, Weiher identifies concrete performance problems that can be discovered empirically via measurement. Then, based on a deep understanding of fundamental principles, he presents specific techniques for solving them.   Weiher presents insights you won’t find anywhere else, most of them applying to both macOS and iOS development. Throughout, he reveals common pitfalls and misconceptions about Apple device performance, explains the realities, and helps you reflect those realities in code that performs beautifully. Understand optimization principles, measurement, tools, pitfalls, and techniques Recognize when to carefully optimize, and when it isn’t worth your time Balance performance and encapsulation to create efficient object representations, communication, data access, and computation Avoid mistakes that slow down Objective-C programs and hinder later optimization Fix leaks and other problems with memory and resource management Address I/O issues associated with drives, networking, serialization, and SQLite Code graphics and UIs that don’t overwhelm limited iOS device resources Learn what all developers need to know about Swift performance This book’s source code can be downloaded at github.com/mpw/iOS-macOS-performance.   Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

Engineering productivity in integrated circuit product design and - velopment today is limited largely by the effectiveness of the CAD tools used. For those domains of product design that are highly dependent on transistor-level circuit design and optimization, such as high-speed logic and memory, mixed-signal analog-digital int- faces, RF functions, power integrated circuits, and so forth, circuit simulation is perhaps the single most important tool. As the complexity and performance of integrated electronic systems has increased with scaling of technology feature size, the capabilities and sophistication of the underlying circuit simulation tools have correspondingly increased. The absolute size of circuits requiring transistor-level simulation has increased dramatically, creating not only problems of computing power resources but also problems of task organization, complexity management, output representation, initial condition setup, and so forth. Also, as circuits of more c- plexity and mixed types of functionality are attacked with simu- tion, the spread between time constants or event time scales within the circuit has tended to become wider, requiring new strategies in simulators to deal with large time constant spreads.

In iOS and macOS™ Performance Tuning, Marcel Weiher drills down to the code level to help you systematically optimize CPU, memory, I/O, graphics, and program responsiveness in any Objective-C, Cocoa, or CocoaTouch program.   This guide focuses entirely on performance optimization for macOS and iOS. Drawing on more than 25 years of experience optimizing Apple device software, Weiher identifies concrete performance problems that can be discovered empirically via measurement. Then, based on a deep understanding of fundamental principles, he presents specific techniques for solving them.   Weiher presents insights you won’t find anywhere else, most of them applying to both macOS and iOS development. Throughout, he reveals common pitfalls and misconceptions about Apple device performance, explains the realities, and helps you reflect those realities in code that performs beautifully. Understand optimization principles, measurement, tools, pitfalls, and techniques Recognize when to carefully optimize, and when it isn’t worth your time Balance performance and encapsulation to create efficient object representations, communication, data access, and computation Avoid mistakes that slow down Objective-C programs and hinder later optimization Fix leaks and other problems with memory and resource management Address I/O issues associated with drives, networking, serialization, and SQLite Code graphics and UIs that don’t overwhelm limited iOS device resources Learn what all developers need to know about Swift performance This book’s source code can be downloaded at github.com/mpw/iOS-macOS-performance.   Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

Engineering productivity in integrated circuit product design and - velopment today is limited largely by the effectiveness of the CAD tools used. For those domains of product design that are highly dependent on transistor-level circuit design and optimization, such as high-speed logic and memory, mixed-signal analog-digital int- faces, RF functions, power integrated circuits, and so forth, circuit simulation is perhaps the single most important tool. As the complexity and performance of integrated electronic systems has increased with scaling of technology feature size, the capabilities and sophistication of the underlying circuit simulation tools have correspondingly increased. The absolute size of circuits requiring transistor-level simulation has increased dramatically, creating not only problems of computing power resources but also problems of task organization, complexity management, output representation, initial condition setup, and so forth. Also, as circuits of more c- plexity and mixed types of functionality are attacked with simu- tion, the spread between time constants or event time scales within the circuit has tended to become wider, requiring new strategies in simulators to deal with large time constant spreads.