Hardware specialization, in the form of accelerators that provide custom datapath and
control for specific algorithms and applications, promises impressive performance and …

We describe and evaluate HELIX, a new technique for automatic loop parallelization that
assigns successive iterations of a loop to separate threads. We show that the inter-thread …

Specialized architectures will become increasingly important as the computing industry
demands more energy-efficient designs. The application-centric design style for these …

Data dependences in sequential programs limit parallelization because extracted threads
cannot run independently. Although thread-level speculation can avoid the need for precise …

Automatic generation of parallel code for general-purpose commodity processors is a
challenging computational problem. Nevertheless, there is a lot of latent thread-level …

The SPEC CPU2017 benchmark suite is an industry standard for accessing CPU
performance. It adheres strictly to some workload and system configurations-arbitrary …

Parallelism has become the primary way to maximize processor performance and power
efficiency. But because creating parallel programs by hand is difficult and prone to error …

Improving system performance increasingly depends on exploiting microprocessor
parallelism, yet mainstream compilers still don't parallelize code automatically. Helix …

High-performance computing communities are increasingly adopting Neural Networks (NN)
as surrogate models in their applications to generate scientific insights. Replacing an …

This article raises an important and challenging workload characterization issue: can we
uncover each critical component across the stacks contributing what percentages to any …