Skip to search formSkip to main contentSkip to account menu

Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers

This paper examines a theoretic thermodynamic formulation that uses information about steady state hot spots and cold spots in the data center and develops real-world scheduling algorithms, and develops an alternate approach to address the problem of heat management through temperature-aware workload placement.
View Paper (opens in a new tab)

Heracles: Improving resource efficiency at scale

Heracles is presented, a feedback-based controller that enables the safe colocation of best-effort tasks alongside a latency-critical service and dynamically manages multiple hardware and software isolation mechanisms to ensure that the latency-sensitive job meets latency targets while maximizing the resources given to best- Effort tasks.
View on ACM (opens in a new tab)

Single-ISA heterogeneous multi-core architectures: the potential for processor power reduction

This paper proposes and evaluates single-ISA heterogeneous multi-core architectures as a mechanism to reduce processor power dissipation and results indicate a 39% average energy reduction while only sacrificing 3% in performance.
View on ACM (opens in a new tab)

Single-ISA heterogeneous multi-core architectures for multithreaded workload performance

This paper examines two single-ISA heterogeneous multi-core architectures in detail, demonstrating dynamic core assignment policies that provide significant performance gains over naive assignment, and even outperform the best static assignment.
View on ACM (opens in a new tab)

Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory

This paper presents Consistent and Durable Data Structures (CDDSs), a single-level data store that, on current hardware, allows programmers to safely exploit the low-latency and non-volatile aspects of new memory technologies.
View Paper (opens in a new tab)

No "power" struggles: coordinated multi-level power management for the data center

This paper proposes and validate a power management solution that coordinates different individual approaches and performs a detailed quantitative sensitivity analysis to draw conclusions about the impact of different architectures, implementations, workloads, and system design choices.
View on ACM (opens in a new tab)

GViM: GPU-accelerated virtual machines

GViM is presented, a system designed for virtualizing and managing the resources of a general purpose system accelerated by graphics processors and how such accelerators can be virtualized without additional hardware support.
View on ACM (opens in a new tab)

Profiling a warehouse-scale computer

A detailed microarchitectural analysis of live datacenter jobs, measured on more than 20,000 Google machines over a three year period, and comprising thousands of different applications finds that WSC workloads are extremely diverse, breeding the need for architectures that can tolerate application variability without performance loss.
View on ACM (opens in a new tab)

FREE-p: Protecting non-volatile memory against both hard and soft errors

Free-p protects against both hard and soft errors and can be extended to chipkill, and increases NVRAM lifetime by up to 26% over the state-of-the-art even with severe process variation while performance degradation is less than 2% for the initial 7 years.
View on IEEE (opens in a new tab)

Full-System Power Analysis and Modeling for Server Environments

This work examines the validity of prior adhoc approaches to understanding power breakdown and quantify several interesting trends important for power modeling and management in the future, and introduces Mantis, a nonintrusive method for modeling full-system power consumption and providing real-time power prediction.
...
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)