Modern embedded systems are rapidly increasing their complexity, both in terms of numbers of cores, as well as heterogeneity. To generate efficient code for these systems, it is common to leverage formal models of computation. Among these, the dataflow ...

Nowadays, developers can implement applications using OpenCL for all kinds of architectures, like CPUs, GPUs and FPGAs. In this work, we propose a source-to-source compiler that can transform C/C++ source code to optimized OpenCL kernel and host code. ...

The increasing pervasiveness of mobile devices combined with their replacement rate, led us to deal with the disposal of an increasing amount of still working electronic devices. This work proposes an approach to mitigate this problem by extending the ...

Since the introduction of Single Instruction Multiple Thread (SIMT) GPU architectures, vectorization has seldom been recommended. However, for efficient use of 8-bit and 16-bit data types, vector types are necessary even on these GPUs. When only integer ...

Writing mixed-precision kernels allows to achieve higher throughput together with outputs whose precision remain within given limits. The recent introduction of native half-precision arithmetic capabilities in several GPUs, such as NVIDIA P100 and AMD ...

To sustain performance while facing always tighter power and energy envelopes, High Performance Computing (HPC) is increasingly leveraging heterogeneous architectures. This poses new challenges: to efficiently exploit the available resources, both in ...