SCOPES

One of the most critical challenges for today's and future data-intensive and big-data problems (ranging from economics and business activities to public administration, from national security to many scientific research areas) is data storage and ...

Resource sharing and interferences of multiple threads of one, but even worse between multiple application programs running concurrently on a Multi-Processor System-on-a-Chip (MPSoC) today make it very hard to provide any timing or throughput-critical ...

Runtime adaptability is expected to adjust the application and the mapping of computations according to usage contexts, operating environments, resources availability, etc. However, extending applications with adaptive features can be a complex task, ...

Energy models can be constructed by characterizing the energy consumed when executing each instruction in a processor's instruction set. This can be used to determine how much energy is required to execute a sequence of assembly instructions, without ...

Traditionally, variables have been considered as atoms by register allocation: Each variable was to be placed in one register, or spilt (placed in main memory) or rematerialized (recalculated as needed). Some flexibility arose from what would be ...

Real-time dataflow analysis techniques for multiprocessor systems ignore that the execution of tasks belonging to different operation modes are mutually exclusive. This results in more resources being reserved than strictly needed and a low resource ...

Stream programming based on the synchronous data flow (SDF) model naturally exposes data, task and pipeline parallelism. Statically scheduling stream programs for homogeneous architectures has been an area of extensive research. With graphic processing ...

Embedded systems, e.g. in computer vision applications, are expected to provide significant amounts of computing power to process large data volumes. Many of these systems, such as used in medical diagnosis, are mobile devices and face significant ...

This paper presents a new approach to efficiently search for suitable compiler pass sequences, a challenge known as phase ordering. Our approach relies on information about the relative positions of compiler passes in compiler pass sequences previously ...

Application modeling using dynamic dataflow graphs is well-suited for multi-core platforms. However, there is often a mismatch between the fine granularity of the application and the platform. Tailoring this granularity to the platform promises ...

Multicore Digital Signal Processors (DSPs) have gained relevance in recent years due to the emergence of data-intensive applications, such as wireless communications and multimedia processing on mobile devices, which demand increased computational ...

JIT compilation and dynamic compilation are powerful techniques allowing to delay the final code generation to the runtime. There is many benefits: improved portability, virtual machine security, etc.

Unforturnately the tools used for JIT compilation ...

Early design decisions such as architectural class and instruction set selection largely determine the performance and energy consumption of application specific processors (ASIPs). However, making decisions that effectively reflect in high performance ...

Tracing is an inevitable concept for assessing system behavior and optimizing resource utilization in parallel embedded real-time architectures. In the last decades, tracing and trace-recording analysis gained increasing importance due to more complex, ...

Software-pipelining is an important technique for increasing the instruction level parallelism of loops during compilation. Currently, the LLVM compiler infrastructure does not offer this optimization although some target specific implementations do ...

In hard real-time multitasking systems, applying WCET-oriented code optimizations to individual tasks may not lead to optimal results with regard to the system's schedulability. We propose an approach based on Integer-Linear Programming which is able to ...

Exploiting effectively massively parallel architectures is a major challenge that stream programming can help to face. We investigate the problem of generating energy-optimal code for a collection of streaming tasks that include parallelizable or ...

This presentation demonstrates a scalable, modular, refinable methodology for translation validation applied to a mature (20 years old), large (500k lines of C), open source (Eclipse/Polarsys IWG project POP) code generation suite, all by using off-the-...

Nowadays, modern multicore embedded systems often execute complex applications that rely heavily on concurrent data structures. Databases on embedded microservers, file systems and stream processing algorithms belong in application domains that normally ...

This paper presents a compiler flow to map Deep Convolutional Networks (ConvNets) to a highly specialized VLIW accelerator core targeting the low-power embedded market. Earlier works have focused on energy efficient accelerators for this class of ...

Massively Parallel Processor Arrays (MPPAs) can be nicely used in portable devices such as tablets and smartphones. However, applications running on mobile platforms require a certain performance level or quality (e.g., high-resolution image processing) ...

Nowadays Computer Vision application are ubiquitous, and their presence on embedded devices is more and more widespread. Heterogeneous embedded systems featuring a clustered manycore accelerator are a very promising target to execute embedded vision ...

The growing complexity of modern embedded systems poses a challenge to designers of virtual platforms, as the increasing number of processors causes simulation speed to degrade. To remain viable as design tools, virtual platforms must use highly ...

MpicOS is a reactive nano-kernel designed for controlling power- and energy-bound multicore embedded systems. Contrary to the mainstream approach of providing a multithreading framework with context saving, MpicOS is articulated around the reactive ...