Concurrency Control in Rule-Based Software Development Environments

This dissertation investigates the concurrency control problem in software development environments (SDEs). The problem arises when multiple developers perform activities that concurrently access the project's components, stored as database objects. The interleaved execution of the developers' activities leads to interference if they access overlapping sets of objects concurrently. An SDE can ensure that activities never interfere by modeling their execution in terms of atomic transactions and allowing only serializable schedules. This prevents cooperation, which requires some degree of interference between the activities of multiple developers. To allow cooperation, an SDE must be provided with semantic information about development activities. In rule-based SDEs, the necessary information is readily available in the set of rules that defines the process model of a project. The rules are loaded into the SDE, which provides process-specific assistance through a rule chaining engine. A single user command might lead the chaining engine to initiate a rule chain. The concurrency control problem in rule-based SDEs manifests itself in terms of interference between concurrent rule chains. We present a mechanism that extracts semantic information from the process model to solve the concurrency control problem without obstructing cooperation. The mechanism is composed of two modules: (1) a conflict detection module, which models activities as nested transactions and uses two-phase locking to detect interference; and (2) a conflict resolution module, which employs two protocols to resolve interference. The first protocol, seep, uses the process model to implement a priority-based scheme that aborts the "least important" of the interfering transactions. The second protocol, peep, overrides SCCP by consulting process-specific control rules, written by the project administration. Each control rule describes a specific interference and the actions that resolve it. We have implemented SCCP and parts ofPCCP in MARVEL, a multi-user rule-based SDE developed at Columbia

Developing a distributed electronic health-record store for India

The DIGHT project is addressing the problem of building a scalable and highly available information store for the Electronic Health Records (EHRs) of the over one billion citizens of India

HELIX-RC

Data dependences in sequential programs limit parallelization because extracted threads cannot run independently. Although thread-level speculation can avoid the need for precise dependence analysis, communication overheads required to synchronize actual dependences counteract the benefits of parallelization. To address these challenges, we propose a lightweight architectural enhancement co-designed with a parallelizing compiler, which together can decouple communication from thread execution. Simulations of these approaches, applied to a processor with 16 Intel Atom-like cores, show an average of 6.85x performance speedup for six SPEC CINT2000 benchmarksThis work was possible thanks to the sponsorship of the Royal Academy of Engineering, EPSRC and the National Science Foundation (award number IIS-0926148).This is the accepted manuscript. The final version is available from IEEE and ACM at http://dl.acm.org/citation.cfm?doid=2678373.2665705

Optimizing energy-efficiency for multi-core packet processing systems in a compiler framework

Network applications become increasingly computation-intensive and the amount of traffic soars unprecedentedly nowadays. Multi-core and multi-threaded techniques are thus widely employed in packet processing system to meet the changing requirement. However, the processing power cannot be fully utilized without a suitable programming environment. The compilation procedure is decisive for the quality of the code. It can largely determine the overall system performance in terms of packet throughput, individual packet latency, core utilization and energy efficiency. The thesis investigated compilation issues in networking domain first, particularly on energy consumption. And as a cornerstone for any compiler optimizations, a code analysis module for collecting program dependency is presented and incorporated into a compiler framework. With that dependency information, a strategy based on graph bi-partitioning and mapping is proposed to search for an optimal configuration in a parallel-pipeline fashion. The energy-aware extension is specifically effective in enhancing the energy-efficiency of the whole system. Finally, a generic evaluation framework for simulating the performance and energy consumption of a packet processing system is given. It accepts flexible architectural configuration and is capable of performingarbitrary code mapping. The simulation time is extremely short compared to full-fledged simulators. A set of our optimization results is gathered using the framework