Types similar to bitstrings and small arrays could be made data-parallel. Lime helps effective-grained parallelism (on worth varieties) through collective operations, which can be user-defined. Tasks can be used for coarse-grained parallelism with its “split” and “join” primitives, that operate on streams. Support for area-specific languages is one thing that has been gaining steam in the PL community for years, and it looks like this paper will help bring these ideas to a wider audience. The design and approach of Safe Haskell ought to be of curiosity to the wider CACM neighborhood, although (or in particular, as a result of) a few of Safe Haskell’s concepts are made potential as a result of Haskell is already a comparatively safe language to start with. This paper describes a language extension of Haskell that is intended to make it attainable to confine and safely execute untrusted, probably malicious code. One key technical development that makes this possible is a new array lookup primitive that gives good leverage for expressing the algorithm and its environment friendly implementation. It leverages Haskell’s type system, and imposes relatively few necessities on the event of Haskell programs.
Reasoning about info circulate in packages allows programmers to understand how delicate information flows by their purposes; even better are tools that allow programmers to specify declarative policies for information movement, permitting software programs to verify that delicate information does not leak to untrusted parties. Programs are idiomatic: they encompass combinations of statements that repeatedly appear in different programs. Published as FastTrack: Efficient and Precise Dynamic Race Detection in November 2010 CACM Research Highlight, with Technical Perspective: Data Races are Evil with No Exceptions by Sarita Adve. Published as Safe to the Last Instruction: Automated Verification of a kind-Safe Operating System in December 2011 CACM Research Highlight, with Technical Perspective: Safety First! Published as Exterminator: Automatically Correcting Memory Errors with High Probability in December 2008 CACM Research Highlight, graduation ceremony uniform economic university with Technical Perspective: Patching Program Errors by Martin C. Rinard. This paper was nominated by an advert hoc SIGPLAN Committee previous to the creation of the SIGPLAN CACM Research Highlights Nominating Committee. This paper applies the fashionable technique of step-listed Kripke logical relations to the outdated downside of reasoning about program equivalence within the presence of expressive language constructs, reminiscent of recursive sorts, abstract sorts, normal references and name/cc.
The authors current a general framework for scheduling on spatial architectures, and evaluate that framework on three diverse architectures with spectacular outcomes w.r.t. The authors provide a pleasant overview of the challenges of parsing C and discover this concretely with the difficult instance of the Linux kernel. It is a great example of the artistic utility of relatively basic summary algebra. It’s a great instance of methods to design a knowledge construction, for which, in a way, solely concurrency issues matter. The reported knowledge is interesting and provides loads of meals for thought for language designers. This work presents a novel methodology for addressing these questions by studying from data a so-called distributed illustration of code snippets, similar to the distributed representations of phrases or documents from the pure language processing domain. The paper presents an entertaining and accessible introduction to the assorted issues that are concerned in constructing such a system.
The paper should enchantment to a wide audience due to the ubiquity of the browser (and thus the utility of their programs), and because it is broad in scope. The approach combines information replication with per NUMA logging of updates, borrowed from distributed systems algorithms, and shared memory information consistency protocols. The SMC (secure multi-celebration computation) neighborhood has studied this challenge and has come up with algorithms that may successfully operate on encrypted knowledge, without revealing that data to the cloud computer systems that are literally doing the computation. Describes “synchronous queues”, a elementary knowledge construction used to implement hand-offs or “rendezvous” between threads. The paper describes a clever technique for restoring checkpointed OS-degree virtual machines, which significantly outperforms both eager (restore all memory pages, then begin VM) and lazy (page in as wanted) methods. The paper demonstrates that benefits of standalone DSLs and embedded DSLs might be mixed without imposing any additional burden on the programmer. The key technical innovation is a model that applies mushy consideration to the representations of all paths in a code snippet; and can thus learn to determine probably the most relevant paths for the duty in hand. This implementation was immediately integrated into the java.util.concurrent element of Sun’s customary Java library, and has thus already had sensible influence.
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