Stringent power budgets in battery powered platforms have led to the development of energy saving techniques such as Dynamic Voltage and Frequency scaling (DVFS). For embedded system designers to be able to ripe the benefits ...

Research has shown that convolutional neural networks contain significant redundancy, and high classification accuracy can be obtained even when weights and activations are reduced from floating point to binary values. In ...

Computers are becoming increasingly parallel. Many applications rely on OpenMP to divide units of work between a set of worker threads. Typically, this is done using parallel for-loops or tasking. Grain graphs is a recent ...

Graphics Processing Units (GPUs) are increasingly widely used in the cloud to accelerate compute-heavy tasks. However, GPU-compute applications stress the GPU architecture in different ways --- leading to suboptimal resource ...

Since the mid-1980s processor performance growth has been remarkable, with an annual growth of about 52 %. Methods such as architectural enhancements exploiting ILP and frequency scaling have been effective at increasing ...

Softwaresimulering er en mye brukt metode for å forske på datamaskin arkitekturer. Dessverre er det tregt, spesielt for større parallelle arkitekturer, som GPUer. En detaljert simulering av en GPU kan ta opptil flere dager. ...

Chip Multiprocessors (CMPs) or multi-core architectures are a new class of processor architectures. Here, multiple processing cores are placed on the same physical chip. To reach the performance potential of these architectures ...

Performance variability is important because it implies that performance is not always as good as it could have been. Running the same benchmark multiple times will give you different running times. A variable total runtime ...

Multi-core processors suffer from inter-application interference which makes the performance of an application depend on the behavior of the applications it happens to be co-scheduled with. This results in performance ...

Analytical models enable architects to carry out early-stage design space exploration several orders of magnitude faster than cycle-accurate simulation by capturing first-order performance phenomena with a set of mathematical ...