It has been a long time that computer architecture and systems are optimized for efficient
execution of machine learning (ML) models. Now, it is time to reconsider the relationship …

Two major trends in high-performance computing, namely, larger numbers of cores and the
growing size of on-chip cache memory, are creating significant challenges for evaluating the …

We describe the design and implementation of DeepDive, a system for transparently
identifying and managing performance interference between virtual machines (VMs) co …

Many modern computing systems must provide reliable latency with minimal energy. Two
central challenges arise when allocating system resources to meet these conflicting …

Detailed architectural simulators suffer from a long development cycle and extremely long
evaluation times. This longstanding problem is further exacerbated in the multi-core …

In many deployments, computer systems are underutilized--meaning that applications have
performance requirements that demand less than full system capacity. Ideally, we would …

This disclosure relates to a method and apparatus for selecting a computational
configuration of an electronic device executing an application in order to improve energy …

Designing and building a system that reaps the performance benefits of hardware
accelerators is challenging, because they provide little concrete visibility into their expected …

For hard real-time systems, timeliness of operations has to be guaranteed. Static timing
analysis is therefore employed to compute upper bounds on the execution times of a …

Future microprocessors may become so power constrained that not all transistors will be
able to be powered on at once. These systems will be required to nimbly adapt to changes …