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Willy Zwaenepoel

Publications associées (153)

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This paper addresses the problem of efficient scheduling of large clusters under high load and heterogeneous workloads. A heterogeneous workload typically consists of many short jobs and a small number of large jobs that consume the bulk of the cluster's r ...

USENIX Association2015

Hierarchical Cycle Accounting: A New Method for Application Performance Tuning

Willy Zwaenepoel, Andrzej Pawel Nowak

To address the growing difficulty of performance debugging on modern processors with increasingly complex micro-architectures, we present Hierarchical Cycle Accounting (HCA), a structured, hierarchical, architecture-agnostic methodology for the identificat ...

2015

Chaos: Scale-out Graph Processing from Secondary Storage

Willy Zwaenepoel, Laurent Bindschaedler, Amitabha Roy, Jasmina Malicevic

Chaos scales graph processing from secondary storage to multiple machines in a cluster. Earlier systems that process graphs from secondary storage are restricted to a single ma- chine, and therefore limited by the bandwidth and capacity of the storage syst ...

2015

Exploiting NVM in Large-scale Graph Analytics

Willy Zwaenepoel, Jasmina Malicevic

Data center applications like graph analytics require servers with ever larger memory capacities. DRAM scaling, how- ever, is not able to match the increasing demands for ca- pacity. Emerging byte-addressable, non-volatile memory technologies (NVM) offer a ...

2015

Establishing a base of trust with performance counters for enterprise workloads

Willy Zwaenepoel, Andrzej Pawel Nowak

Understanding the performance of large, complex enterprise-class applications is an important, yet nontrivial task. Methods using hardware performance counters, such as profiling through event-based sampling, are often favored over instrumentation for anal ...

2015

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Software upgrades are frequent. Unfortunately, many of the upgrades either fail or misbehave. We argue that many of these failures can be avoided for users of the new version of the software by exploiting the characteristics of the upgrade and feedback fro ...

Elsevier2014

Scale-up Graph Processing in the Cloud: Challenges and Solutions

Willy Zwaenepoel, Amitabha Roy, Jasmina Malicevic

Processing large graphs is an important part of the big-data problem. Recently a number of scale-up systems such as X-Stream, Graphchi and Turbograph have been proposed for processing large graphs using secondary storage on a single machine. The design and ...

GentleRain: Cheap and Scalable Causal Consistency with Physical Clocks

Willy Zwaenepoel, Calin Iorgulescu, Jiaqing Du, Amitabha Roy

GentleRain is a new causally consistent geo-replicated data store that provides throughput comparable to eventual consistency and superior to current implementations of causal consistency. GentleRain uses a periodic aggregation protocol to deter- mine whet ...

ACM2014

X-Stream: Edge-centric Graph Processing using Streaming Partitions

Willy Zwaenepoel, Amitabha Roy, Ivo Mihailovic

X-Stream is a system for processing both in-memory and out-of-core graphs on a single shared-memory machine. While retaining the scatter-gather programming model with state stored in the vertices, X-Stream is novel in (i) using an edge-centric rather than ...

ACM2013

Clock-SI: Snapshot Isolation for Partitioned Data Stores Using Loosely Synchronized Clocks

Willy Zwaenepoel, Sameh Mohamed Elnikety, Jiaqing Du

Clock-SI is a fully distributed protocol that implements snapshot isolation (SI) for partitioned data stores. It derives snapshot and commit timestamps from loosely synchronized clocks, rather than from a centralized timestamp authority as used in current ...

2013