Nanopore sequencing technology has the potential to render other sequencing
technologies obsolete with its ability to generate long reads and provide portability …

There is an increasing need to bring machine learning to a wide diversity of hardware
devices. Current frameworks rely on vendor-specific operator libraries and optimize for a …

Hardware multithreading is becoming a generally applied technique in the next generation
of microprocessors. Several multithreaded processors are announced by industry or already …

Scalable frameworks, such as TensorFlow, MXNet, Caffe, and PyTorch drive the current
popularity and utility of deep learning. However, these frameworks are optimized for a …

The microprocessor industry is currently struggling with higher development costs and
longer design times that arise from exceedingly complex processors that are pushing the …

This paper proposes dynamic cache partitioning amongst simultaneously executing
processes/threads. We present a general partitioning scheme that can be applied to set …

Graph processing is an increasingly important application domain and is typically
communication-bound. In this work, we analyze the performance characteristics of three …

Simultaneous Multithreading (SMT) is an execution model that executes multiple threads in
parallel within a single processor pipeline. Usually, an SMT processor uses shared …

CMOS technology and its sustainable scaling have been the enablers for the design and
manufacturing of computer architectures that have been fuelling a wider range of …

This paper presents an extended version of the goal-oriented requirements analysis method
called AGORA, where attribute values, eg contribution values and preference matrices, are …