Abstract
Usage models and applications are rapidly changing as a new class of devices (smart phones, smart TVs, etc) and rich cloud computing services (on datacenter servers) enter the marketplace. In this talk, I will start by describing some key examples of these radical changes in usage models, applications and devices. I will then highlight why the next decade of computing (clients and servers) will be based on heterogeneous architectures consisting of asymmetric cores, accelerators and hybrid cache/memory structures. The rest of the talk will be an in-depth discussion of the power/performance analysis challenges for heterogeneous architectures, such as (i) how do we analyze applications to determine the right mix of cores and accelerators, (ii) how do we provide performance/power prediction techniques for efficient OS scheduling on heterogeneous architectures?, (iii) how do we enable runtimes and applications to achieve the required QoS on heterogeneous architectures?, (iv) how do simulation/emulation methodologies and infrastructure have to change for rapid and consistent heterogeneous architecture exploration? For each of these, I will also give examples of work that is on-going and outline potential areas for future work on performance/power analysis for heterogeneous architectures.