Programming heterogeneous systems such as the System-on-chip (SoC) processors in modern mobile devices can be extremely complex because a single system may include multiple different parallelism models, instruction sets, memory hierarchies, and systems use different combinations of these features. This is further complicated by software and hardware approximate computing optimizations. Different compute units on an SoC use different approximate computing methods and an application would usually be composed of multiple compute kernels, each one specialized to run on a different hardware. Determining how best to map such an application to a modern heterogeneous system is an open research problem. First, we propose a parallel abstraction of h...
This thesis deals with the problem of finding effective methods for programming and distributing dat...
Today, with the growth of highly parallel and heterogeneous architectures, systems composed of a com...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
With the increasing need for machine learning and data processing near the edge, software stacks and...
Heterogeneous computer systems are ubiquitous in all areas of computing, from mobile to high-perfor...
Most embedded devices are based on heterogeneous Multiprocessor System on Chips (MPSoCs). These con...
Trends in computer engineering place renewed emphasis on increasing parallelism and heterogeneity. ...
International audienceCurrent applications constraints are pushing for higher computation power whil...
Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute...
Heterogeneous parallel computing combines general purpose processors with accelerators to efficientl...
As chip manufacturing processes are getting ever closer to what is physically possible, the projecti...
Initially driven by a strong need for increased computational performance in science and engineerin...
As the demand increases for high performance and power efficiency in modern computer runtime systems...
Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding...
Accelerated parallel computing techniques using devices such as GPUs and Xeon Phis (along with CPUs)...
This thesis deals with the problem of finding effective methods for programming and distributing dat...
Today, with the growth of highly parallel and heterogeneous architectures, systems composed of a com...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
With the increasing need for machine learning and data processing near the edge, software stacks and...
Heterogeneous computer systems are ubiquitous in all areas of computing, from mobile to high-perfor...
Most embedded devices are based on heterogeneous Multiprocessor System on Chips (MPSoCs). These con...
Trends in computer engineering place renewed emphasis on increasing parallelism and heterogeneity. ...
International audienceCurrent applications constraints are pushing for higher computation power whil...
Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute...
Heterogeneous parallel computing combines general purpose processors with accelerators to efficientl...
As chip manufacturing processes are getting ever closer to what is physically possible, the projecti...
Initially driven by a strong need for increased computational performance in science and engineerin...
As the demand increases for high performance and power efficiency in modern computer runtime systems...
Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding...
Accelerated parallel computing techniques using devices such as GPUs and Xeon Phis (along with CPUs)...
This thesis deals with the problem of finding effective methods for programming and distributing dat...
Today, with the growth of highly parallel and heterogeneous architectures, systems composed of a com...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...