Publications

Full-System Simulation of Java Workloads with RISC-V and the Jikes Research Virtual Machine

Managed languages such as Java, JavaScript or Python account for a large portion of workloads, both in cloud data centers and on mobile devices. It is therefore unsurprising that there is an interest in hardware-so

1st Workshop on Computer Architecture Research with RISC-V (CARRV '17), Boston, MA, October 2017,
https://people.eecs.berkeley.edu/~maas/papers/maas-carrv17-jikesrvm.pdf
Author(s): Martin Maas, Krste Asanovic, John Kubiatowicz

Selecting the Best VM across Multiple Public Clouds: A Data-Driven Performance Modeling Approach

Users of cloud services are presented with a bewildering choice of VM types and the choice of VM can have significant implications on performance and cost. In this paper we address the fundamental problem of accura

ACM Symposium on Cloud Computing 2017 (SoCC '17),
https://people.eecs.berkeley.edu/~neerajay/paris_socc17.pdf
Author(s): Neeraja Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Burton Smith, Randy Katz

Sub-microsecond Adaptive Voltage Scaling in a 28nm FD-SOI Processor

This work presents a RISC-V system-on-chip (SoC) with integrated voltage regulation and power management implemented in 28nm FD-SOI. A fully integrated switched-capacitor DC-DC converter, coupled with an

ESSCIRC - ESSDERC 2016,
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7598294
Author(s): Krste Asanovic, Benjamin Keller, Martin Cochet, Brian Zimmer, Jaehwa Kwak, Alberto Puggelli, Steven Bailey, Borivoje Nikolic, Palmer Dabbelt, et al.

Time-evolving Graph Processing at Scale

Time-evolving graph-structured big data arises naturally in many application domains such as social networks and communication networks. However, existing graph processing systems lack support for efficient computa

Graph Data-management Experiences & Systems (GRADES),

Author(s): Anand Padmanabha Iyer, Li Erran Li, Tathagata Das, Ion Stoica

Decoding from Pooled data: Phase Transitions of Message Passing

We consider the problem of decoding a discrete signal of categorical variables from the observation of several histograms of pooled subsets of it. We present an Approximate Message Passing (AMP) algorithm for recov

short version submitted to International Symposium on Information Theory (ISIT), long version to be submitted to IEEE Transactions on Information Theory (IEEEIT),
https://arxiv.org/abs/1702.02279
Author(s): Aaditya Ramdas, Ahmed El Alaoui, Michael Jordan, Florent Krzakala, Lenka Zdeborova

Proteus: agile ML elasticity through tiered reliability in dynamic resource markets

Many shared computing clusters allow users to utilize excess idle resources at lower cost or priority, with the proviso that some or all may be taken away at any time. But, exploiting such dynamic resource availabi

ACM European Conference on Computer Systems (EuroSys'2017),
http://www.pdl.cmu.edu/PDL-FTP/BigLearning/proteus_abs.shtml
Author(s): Aaron Harlap, Alexey Tumanov, Andrew Chung, Gregory R. Ganger, Phil Gibbons

Morpheus: Towards Automated SLOs for Enterprise Clusters

Modern resource management frameworks for largescale analytics leave unresolved the problematic tension between high cluster utilization and job’s performance predictability—respectively coveted by operators an

Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI'16).,
https://www.usenix.org/conference/osdi16/technical-sessions/presentation/jyothi
Author(s): C. Curino, I. Menache, S. Narayanamurthy, Alexey Tumanov, J. Yaniv, R. Mavlyutov, I. Goiri, S. Krishnan, J. Kulkarni, S. Rao