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PPOPP
2010
ACM
14 years 3 months ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 9 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
HPDC
2010
IEEE
13 years 10 months ago
AzureBlast: a case study of developing science applications on the cloud
Cloud computing has emerged as a new approach to large scale computing and is attracting a lot of attention from the scientific and research computing communities. Despite its gro...
Wei Lu, Jared Jackson, Roger S. Barga
CLOUD
2010
ACM
14 years 1 months ago
The case for PIQL: a performance insightful query language
Large-scale, user-facing applications are increasingly moving from relational databases to distributed key/value stores for high-request-rate, low-latency workloads. Often, this m...
Michael Armbrust, Nick Lanham, Stephen Tu, Armando...
IPPS
2009
IEEE
14 years 3 months ago
Application profiling on Cell-based clusters
In this paper, we present a methodology for profiling parallel applications executing on the IBM PowerXCell 8i (commonly referred to as the “Cell” processor). Specifically, we...
Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson...