Manual CODE Magazine - 2010 JanFeb

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CODE Magazine - JanFeb eBook: Rod Paddock, Paul Sheriff, Sahil Malik, Chris Williams, Deborah Kurata, Derick Bailey, Kathleen Dollard, Edwin Ames.
Table of contents

April Jak 2. February Midnight Club 2. January Fable. December Enter the Matrix.

Council of Science Editors

November Starcraft Ghost. October Devil May Cry 2. August Sex, Lies, and Video Games. July The Getaway. June Tony Hawk's Pro Skater 4. April Mortal Kombat: Deadly Alliance. March Maximo. February Turok Evolution. January Final Fantasy X. November Gamecube Vs Xbox. October Devil May Cry.

September Tony Hawk's Pro Skater 3. August Issue July 99 Gamecube Invasion featuring Star Fox.

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June 98 WWF Smackdown! May 97 Azurik: Rise of Perathia. April 96 Baldur's Gate: Dark Alliance. March 95 Onimusha: Warlords. January 93 Twisted Metal Black. December 92 Red Faction. November 91 PlayStation 2. October 90 Dino Crisis 2. September 89 Final Fantasy IX. July 87 WWF.


  • Casino Fires That Rewrote The Code;
  • Cheap code magazine free deals!
  • Parent Tables;
  • Jihadi Terrorism and the Radicalisation Challenge in Europe.
  • Singularités franco-japonaises?

June 86 The Legend of Dragoon. May 85 Wild Arms 2. April 84 Siphon Filter 2. March 83 Fear Effect. February 82 Crazy Taxi. January 81 Tomba! December 80 Resident Evil 3: Nemesis. November 79 Tony Hawk's Pro Skater. October 78 Dreamcast. September 77 legacy of Kain: Soul Reaveer. August 76 WWF Attitude. July 75 Ape Escape. June 74 Crash Team Racing. April 72 Super Smash Brothers. March 71 Syphon Filter. February 70 Street Fighter Alpha 3. January 69 Turok 2: Seeds of Evil. November 67 Metal Gear Solid.

October 66 Rogue Trip: Vacation September 65 Spyro the Dragon. August 64 Heart of Darkness. July 63 Mission: Impossible. June 62 Banjo-Kazooie. May 61 Tekken 3. March 59 Gex: Enter the Gecko. February 58 Yoshi's Story. January 57 Resident Evil 2. December 56 Tomb Raider 2. October 54 Madden August 52 Oddworld: Abe's Oddysee. July 51 Treasures of the Deep. June 50 Star Fox May 49 Fighters Megamix.

March 47 Turok: Dinosaur Hunter. February 46 Mario Kart January 45 Star Wars: Shadow of the Empire. December 44 Twisted Metal 2. November 43 Tomb Raider. October 42 Tobal No. September 41 Crash Bandicoot. August 40 Super Mario July 39 Legend of Oasis. June 38 Tekken 2. May 37 Panzer Dragoon 2 Zwei. March 35 Resident Evil.

February 34 Descent. January 33 Nintendo Ultra December 32 Toy Story. October 30 Mortal Kombat 3. September 29 Killer Instinct. August 28 Lunar: Eternal Blue. June 26 Daytona USA. May 25 Gex. April 24 Eternal Champions. February 22 Killer Instinct. January 21 Ristar. December 20 Doom. Summer 5 Stanley: The Search for Dr. Many people who attempted to use the stairwells as their exit path from the building were trapped when the doors locked behind them. When smoke entered the stairwells below the escaping building occupants, they became trapped and died.

In the early s, casinos and restaurants in Las Vegas and other jurisdictions were not protected by automatic sprinklers. An exemption precluded sprinkler protection when a facility was occupied 24 hours a day. The building inspectors who granted this exemption reasoned that occupants would quickly notice any fire, and they reasoned the prompt use of portable fire extinguishers would then contain it. In the case of the MGM Grand, the area where the fire occurred did not operate on a hour basis, and there were no people around when the fire broke out.

Reportedly, the fire alarm system consisted only of manual fire alarm boxes and speaker-type notification appliances located on each floor, with the exception of the first through the fourth levels of the building, where there were no manual fire alarm boxes or notification appliances. When someone actuated a manual fire alarm box, the signal sounded in the security office. For a minimum of five minutes after the signal, the system delayed sounding the fire alarm notification appliances and delayed transmitting the alarm signal to a central station and the fire department.

This delay would allow security officers to investigate and confirm the alarm was for a real fire. When the central station finally received the alarm signal, the operators would notify the fire department through the use of a hotline telephone connection. Obviously, delayed notification of a fire to the occupants or to the fire department can result in a large loss of life. Most owners do not wish to disturb the occupants of their buildings unless they have a real need to do so.

Unfortunately, this often results in a very dangerous practice when it comes to the life safety of those same occupants.

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As a result of this and other casino fires, such as the Las Vegas Hilton fire a few months later, the building codes, the Life Safety Code and the National Fire Alarm and Signaling Code now contain numerous requirements to help prevent the issues that led to the loss of so many lives. The code gives particular attention to various schemes that may delay the actuation of notification appliances or the transmission of signals to a supervising station or to the fire department. With respect to delayed notification, for some occupancies, the Life Safety Code continues to allow fire alarm systems to use presignal, positive alarm sequence and alarm verification.

However, designers and installing contractors often misunderstand, misuse and misapply these notification strategies. Alarm verification denotes a feature developed to reduce nuisance false alarms from smoke detectors. Since the edition of NFPA 72, the National Fire Alarm Code, an installer can only use this feature once a proven smoke detector false alarm issue has occurred. A presignal system will typically have the initial fire alarm signals sound only in department offices, control rooms, fire brigade stations or other constantly attended central locations. But, transmission of the fire alarm signal to a supervising station or to the fire department must occur without delay.

An evaluation of the performance of Orca suggests that is fast and scalable for idiomatic workloads. When higher performance is needed, they are obliged to rewrite their code in a lower-level efficiency language. Different solutions have been proposed to address this tradeoff between productivity and efficiency.

One promising approach is to create embedded domain-specific languages that sacrifice generality for productivity and performance, but practical experience with DSLs points to some road blocks preventing widespread adoption. This paper proposes a non-invasive domain-specific language that makes as few visible changes to the host programming model as possible.

We present ParallelAccelerator, a library and compiler for high-level, high-performance scientific computing in Julia. Our compiler exposes the implicit parallelism in high-level array-style programs and compiles them to fast, parallel native code. Our results show encouraging performance improvements with very few changes to source code required. In particular, few to no additional type annotations are necessary. We proposed a mechanized proof methodology based on the popular Rely-Guarantee RG proof technique.

We design a specific compiler intermediate representation IR with strong type guarantees, dedicated support for abstract concurrent data structures, and high-level iterators on runtime internals. In addition, we define an RG program logic supporting an incremental proof methodology where annotations and invariants can be progressively enriched.

We formalize the IR, the proof system, and prove the soundness of the methodol- ogy in the Coq proof assistant. Equipped with this IR, we prove a fully concurrent garbage collector where mutators never have to wait for the collector. Ko, Jan Vitek, Lukasz Ziarek Abstract : Time predictability is difficult to achieve in the complex, layered execution environments that are common in modern embedded devices.

We consider the possibility of adopting the Android programming model for a range of embedded applications that extends beyond mobile devices, under the constraint that changes to widely used libraries should be minimized. We report on the design and implementation of an Android virtual machine with soft-real-time support, and provides experimental data validating feasibility over three case studies. New, Jan Vitek, and Matthias Felleisen Abstract : Programmers have come to embrace dynamically-typed languages for prototyping and delivering large and complex systems.

When it comes to maintaining and evolving these systems, the lack of explicit static typing becomes a bottleneck. In response, researchers have explored the idea of gradually-typed programming languages which allow the incremental addition of type annotations to software written in one of these untyped languages.

Some of these new, hybrid languages insert run-time checks at the boundary between typed and untyped code to establish type soundness for the overall system. With sound gradual typing, programmers can rely on the language implementation to provide meaningful error messages when type invariants are violated. While most research on sound gradual typing remains theoretical, the few emerging implementations suffer from performance overheads due to these checks.

None of the publications on this topic comes with a comprehensive performance evaluation. Worse, a few report disastrous numbers. In response, this paper proposes a method for evaluating the performance of gradually-typed programming languages.

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The method hinges on exploring the space of partial conversions from untyped to typed. For each benchmark, the performance of the different versions is reported in a synthetic metric that associates runtime overhead to conversion effort. The paper reports on the results of applying the method to Typed Racket, a mature implementation of sound gradual typing, using a suite of real-world programs of various sizes and complexities. Based on these results the paper con- cludes that, given the current state of implementation technologies, sound gradual typing faces significant challenges.

Conversely, it raises the question of how implementations could reduce the overheads associated with soundness and how tools could be used to steer programmers clear from pathological cases. This design point preserves programming idioms developers are familiar with, and allows them to leave their legacy code unchanged, while offering a measure of static error checking in annotated parts of the program. We present an alternative design for TypeScript that supports the same degree of dynamism but that also allows types to be strengthened to provide correctness guarantees.

We report on an implementation, called StrongScript, that improves runtime performance of typed programs when run on a modified version of the V8 JavaScript engine. Because of the model's complexity, however, its definition cannot be easily transplanted within an optimizing Java compiler, even though an important rationale for its design was to ensure Java compiler optimizations are not unduly hampered because of the language's concurrency features.

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In response, the JSR Cookbook for Compiler Writers, an informal guide to realizing the principles underlying the JMM on different relaxed-memory platforms was developed. The goal of the cookbook is to give compiler writers a relatively simple, yet reasonably efficient, set of reordering-based recipes that satisfy JMM constraints. We present the first formalization of the cookbook, providing a semantic basis upon which the relationship between the recipes defined by the cookbook and the guarantees enforced by the JMM can be rigorously established.

Notably, one artifact of our investigation is that the rules defined by the cookbook for compiling Java onto Power are inconsistent with the requirements of the JMM, a surprising result, and one which justifies our belief in the need for formally provable definitions to reason about sophisticated and racy concurrency patterns in Java, and their implementation on modern-day relaxed-memory hardware. Our formalization enables simulation arguments between an architecture-independent intermediate representation of the kind suggested by the Cookbook with machine abstractions for Power and x Moreover, we provide fixes for cookbook recipes that are inconsistent with the behaviors admitted by the target platform, and prove the correctness of these repairs.

In our field, software artifacts play a central role: they are the embodiments of our ideas and contributions. Yet when we publish, we are evaluated on our ability to describe informally those artifacts in prose. Often, such prose gives only a partial, and sometimes overly rosy, view of the work. Especially so when the object of discourse is made up of tens of thousands of lines of code that interact in subtle ways with different parts of the software and hardware stack on which it is deployed. Over the years, our community's culture has evolved to value originality above everything else, and our main conferences and journals deny software its rightful place.

Our development is framed in the context of the Total Store Order relaxed memory model. Ensuring complier correctness is challenging because high-level actions are translated into sequences of nonatomic actions with compiler-injected snippets of racy code; the behavior of this code depends not only on the actions of other threads but also on out-of-order executions performed by the processor.

In this article, we propose a refinement-based proof methodology that precisely relates concurrent code expressed at different abstraction levels, cognizant throughout of the relaxed memory semantics of the underlying processor. Our technique allows the compiler writer to reason compositionally about the atomicity of low-level concurrent code used to implement managed services. We illustrate our approach with examples taken from the verification of a concurrent garbage collector. The effort required to develop a production-quality, high-performance runtime is, however, staggering and the expertise required to do so is often out of reach of the community maintaining a particular language.

Many domain specific languages remain stuck with naive implementations, as they are easy to write and simple to maintain for domain scientists. In this paper, we try to see how far one can push a naive implementation while remaining portable and not requiring expertise in compilers and runtime systems. We choose the R language, a dynamic language used in statistics, as the target of our experiment and adopt the simplest possible implementation strategy, one based on evaluation of abstract syntax trees. We build our interpreter on top of a Java virtual machine and use only facilities available to all Java programmers.

We compare our results to other implementations of R. We investigate whether this complexity is really necessary and show that by having a different but wider interface between the collector and the developer, we can achieve high performance with off-the-shelf components for real applications. We propose to assemble a memory manager out of multiple, simple collection strategies and to expose the choice of where to use those strategies in the program to the developer. We describe and evaluate an instantiation of our design for C.


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  7. Our prototype allows developers to choose on a per-type basis whether data should be reference counted or reclaimed by a tracing collector. While neither strategy is optimised, our empirical data shows that we can achieve performance that is competitive with hand-tuned C code for real-world applications. Eternal Sunshine of the Spotless Mind. Our paper on ownership Flexible Alias Protection received a test-of-time award.

    Deja Vu. Curry On. Purdue Undergraduate Advising Award. Purdue University Faculty Scholar. IBM Faculty Award. Programming Lanugage Implementation Summer School, , Trends in Concurrency: , , Data Analysis for the Masses. Prague Video. Greater Boston useR Group Video. Benchmarks killed the beast: Understanding JS performance for fun and profit. Repeatability, reproducibility and rigor in CS research. Thorn: Objects, Scripts and more Is Java Ready for Real-time? Programming models for Real-time and Concurrency. Conference on Compiler Construction, , , ,