In many domains, the previous decade was characterized by increasing data volumes and
growing complexity of data analyses, creating new demands for batch processing on …

Predicting workload behavior during workload execution is essential for dynamic resource
optimization in multi-processor systems. Recent studies have proposed advanced machine …

Adaptable computing is an increasingly important paradigm that specializes system
resources to variable application requirements, environmental conditions, or user …

It is well-known that a program's execution can be partitioned into different phases. Because
of their impact on micro-architectural components such as caches and branch predictors …

Predicting coarse-grain variations in workload behavior during execution is essential for
dynamic resource optimization of processor systems. Researchers have proposed various …

Most existing computer architecture simulators are cycle oriented, ie, they are driven cycle
by cycle. However, frequent switches among simulation contexts, excessive buffer accesses …

Ever-increasing complexity and heterogeneity of systems and applications pose
fundamental new challenges for design, programming, and runtime management of …

With computer microarchitectures advancing and benchmark sizes expanding, the need for
agile pre-silicon performance estimation becomes increasingly crucial. SimPoint is a widely …

Improving computing performance and reducing energy consumption are a major concern in
heterogeneous many-core systems. The thread count directly influences the computing …

Modern high-performance processor systems universally employ hardware prefetch engines
to address the “memory wall” issue. Nonetheless, prefetchers are typically activated with the …