International audienceTransactional Memory (TM) is a new programming paradigm that offers an alternative to traditional lock-based concurrency mechanisms. It offers a higher-level programming interface and promises to greatly simplify the development of correct concurrent applications on multicore architectures. However, simplicity often comes with an important performance deterioration and given the variety of TM implementations it is still a challenge to know what kind of applications can really take advantage of TM. In order to gain some insight on these issues, helping developers to understand and improve the performance of TM applications, we propose a generic approach for collecting and tracing relevant information about transactions. Our solution can be applied to different Software Transactional Memory (STM) libraries and applications as it does not modify neither the target application nor the STM library source codes. We show that the collected information can be helpful in order to comprehend the performance of TM applications

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Abstract:In this document, we propose a component-based approach to provide a well-suited solution to the programming and deployment problems of systems on chip (SoC) that can become increasingly complex and heterogeneous. Focusing on the aspect of observation, we show, from system to application, that components help in observing all software levels. We present the EMBera prototype and relate our experience in implementing it on two different platforms: a Linux-based 16-core SMP machine and a 5-core embedded system developed by STMicroelectronics.

Abstract-This work presents a debugging methodology for MPSoC based on deterministic record-replay. We propose a general model of MPSoC and define a debugging cycle targeting errors by applying temporal and spatial selection criteria. The idea behind spatial and temporal selection is to consider not the entire execution of the whole application but replay a part of the application during a specific execution interval. The proposed mechanisms are connected to GDB and allow for a visual representation of the considered part of the trace. The approach is validated on two execution platforms and two multimedia applications.