Unfortunately, current software development tools and practices actually encourage the introduction of unnecessary dependencies that serve to propagate errors between conceptually unrelated components. We have implemented a compiler for bamboo which generates code for the tilepro64 manycore processor. Supporting speculative parallelization in the presence of dynamic data structures. My research is in programming language design and parallel programming on manycore processors. A datacentric, objectoriented approach to manycore software advisor. Xingjie wu, yi liu, jin zhou, pinning adaptive synchronization of general timevarying delayed and multilinked networks with variable structures. Closing the ninja performance gap through traditional. Demsky, integrating caching and prefetching mechanisms in a distributed transactional memory, ieee transactions on parallel and distributed systemsieee transactions on parallel and distributed systems, vol. With the growing popularity of taskbased parallel programming, nowadays taskparallel programming libraries and languages are still with limited support for coordinating parallel tasks. Spicec programs are portable across modern chip multiprocessor based machines that may or may not support cache coherence. A datacentric, objectoriented approach to multicore software bibtex jin zhou and brian demsky proceedings of the 2010 conference on. In these languages, a developer focuses on the flow of data through the. Datacentric metaprogramming in objectoriented languages.
A datacentric programming language includes builtin processing primitives for accessing data stored in sets, tables, lists, and other data structures and databases, and for specific manipulation and. The next decade will see that success move to where open source will become the dominant approach in those industries where software is becoming an increasing part of the value chain. Browse, sort, and access the pdf preprint papers of pldi 2010 conference on sciweavers. Were upgrading the acm dl, and would like your input. This work lays a foundation to our future work to develop more general data parallel programming models for many core architectures.
Datacentric programming languages provide a processing approach in which applications are expressed in terms of. Data parallel programming model for manycore architectures. I collaborated with my adviser brian demsky on a bamboo project that is a n ew approach to developing parallel software on manycore architecture. Datacentric programming language defines a category of programming languages where the primary function is the management and manipulation of data. Closing the ninja performance gap through traditional programming and compiler technology executive summary current processor trends of integrating more cores with wider simd units, along with a deeper and complex memory hierarchy, have made it increasingly more. In the past decade, open source software licensing and development have gone from a curious new way of doing things, to dominating the software industry. Data centric programming language defines a category of programming languages where the primary function is the management and manipulation of data. Datacentric programming languages are typically declarative and often datafloworiented, and define the processing result desired. A datacentric, objectoriented approach to manycore software. Spicec also supports data transfers involving dynamic data structures without help from developers. Bamboo borrows from work in typestate and software transactions to relax the traditional restrictions of dataoriented programming models to support mutation of arbitrary data structures.
A datacentric, objectoriented approach to multicore software. Objectinspired concurrency control brian demsky and patrick lam. A datacentric, objectoriented approach to manycore. Compiler construction 20th international conference cc. I also developed a numaaware parallel garbage collector for a 64core tilepro64. The goal of this research is to explore a new approach for creating software systems that are robust. Design and implementation pldi, pages 388399, 2010. The spicec parallel computation model consists of multiple threads where every thread has a private space for data and all threads share data via a shared space. This simplification comes at a cost traditional dataoriented approaches restrict the mutation of state and, in practice, the types of data structures a program can effectively use. Traditional dataoriented programming languages such as dataflow languages and stream languages provide a natural abstraction for parallel programming.
Software and its engineering parallel programming lan. Thazhuthaveetil, software pipelined execution of stream programs on gpus, in. A datacentric, objectoriented approach to manycore software, pldi 2010. A postlabeling approach for the characterization and quantification of rna modifications based on sitedirected cleavage by dnazymes. A data centric programming language includes builtin processing primitives for accessing data stored in sets, tables, lists, and other data structures and databases, and for specific manipulation and transformation of data required by a. Index terms autoclassified programming scalable cloud services with aeon. A datacentric programming language includes builtin processing primitives for accessing data stored in sets, tables, lists, and other data structures and databases, and for specific manipulation and transformation of data required by a. Bs or ms in computer, electrical or software engineering or equivalent disciplineexperience minimum of 2 years experience in product related environment real time development and debugging skills comfortable working in a small team, and sometimes ambiguous or fluid environments knowledgeuse of linux understanding of networking. Programming scalable cloud services with aeon gustavo petri. A datacentric, objectoriented approach to manycore software proceedings of the 2010 acm sigplan conference on programming language design and implementation june 1, 2010.
This article introduces the datacentric approach, explaining how to design with datacentric principles and implement datacentric applications. Programming language design and implementation, 2010. By combining finegrained data dependencies with highlevel controlflow, sdfgs are both expressive and amenable to program transformations, such as tiling and doublebuffering. When programs became larger and data more complex, the. Spicec simplifies the task of parallel programming through a combination of an intuitive computation model and spicec directives. A datacentric, objectoriented approach to manycore software, by j.
Stateful dataflow multigraphs proceedings of the international. Spicec allows developers to create clusters of data to enable parallel data transfers. In the article, we will discuss multiple options for mapping between statechart. Datacentric programming language datacentric programming language defines a category of programming languages where the primary function is the management and manipulation of data. A datacentric, objectoriented approach to multicore software jin zhou and brian demsky proceedings of the 2010 conference on programming language design and implementation toronto, canada june 2010. Acm sigplan notices volume 46, number 12, december, 2011 tomas petricek and alan mycroft and don syme extending monads with pattern matching 112 george giorgidze and torsten grust and nils schweinsberg and jeroen weijers bringing back monad comprehensions. Simple statechart with onentryonexit download scientific diagram. While the objectoriented development approach is useful for developing applications in general, a datacentric approach is better for designing and developing distributed applications. Software and its engineering parallel programming lan guages. Proceedings of acm annual conference on object oriented programming systems, languages, and applications. Emerging from the graal team and the diet software, and represented by d.
This work lays a foundation to our future work to develop more general data parallel programming models for manycore architectures. Demsky, memory management for manycore processors with software configurable locality policies, 2012 international symposium on memory management. Functional analysis of noncoding rnas in trypanosomes. The sql relational database language is an example of a declarative. Oop can be used to create a data centric application. Closing the ninja performance gap through traditional programming and compiler technology executive summary current processor trends of integrating more cores with wider simd units, along with a deeper and complex memory hierarchy, have made it increasingly more challenging to extract performance from applications. The two concepts are somewhat orthogonal, a data centric application is one where the database plays a key role, where properties in the database may influence the code paths running in your application and where the code is more generic and allmost business logic is defined through database relations and constraints. We present the stateful dataflow multigraph sdfg, a datacentric intermedi. Brian demsky design and development of reliable and faulttolerant networkonchip router architecture advisor. Memory management for manycore processors with software configurable locality policies jz, bd, pp. Rna walk, a novel approach to study rnarna interactions between small rna and its target. Memory management for manycore processors with software configurable locality policies. Datacentric programming language defines a category of programming languages where the.
A datacentric, objectoriented approach to manycore software conference paper in acm sigplan notices 456. Loureiro, the second project deals with consulting and software editing around access to distributed hpc resources. Table of contents for issues of acm sigplan notices. Proceedings of acm sigplan conference on programming language design and implementation. Programming scalable cloud services with aeon proceedings. In contrast, the pbqp approach integrates copy coalescing into the coloring, so the coloring time equals the total time. Boix proposes a software platform for complex systems simulation in biology. Memory management for manycore processors with software. In relation with team mc2 and the complex system institute, e. For instance, we may ask whether we have defined sufficiently many operations for a. Recent suggestions include bamboo 48 for an object oriented manycore programming approach, gpgpu approaches for parallelism management 47, the berkeley view project 3 and opencl for. Proceedings of the 2010 acm sigplan conference on programming language design and implementation, pldi 2010, toronto, ontario, canada, june 510, 2010. Bamboo provides a dataoriented approach to concurrency, where the programmer implements tasks, and the runtime system exploits dynamic and static information to parallelize dataindependent tasks.
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