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Benchmark synthesis for architecture and compiler exploration
2010
IEEE International Symposium on Workload Characterization (IISWC'10)
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Second, the synthetic benchmarks hide proprietary information from the original workloads they are built after. ...
First, it generates synthetic benchmarks in a high-level programming language (C in our case), in contrast to prior work in benchmark synthesis which generates synthetic benchmarks in assembly. ...
We then generate a synthetic benchmark from this statistical profile. ...
doi:10.1109/iiswc.2010.5650208
dblp:conf/iiswc/ErtveldeE10
fatcat:izitmzshwbctjomtlknam5kyje
Workload generation for microprocessor performance evaluation
2012
Proceedings of the third joint WOSP/SIPEW international conference on Performance Engineering - ICPE '12
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order of magnitude over state-of-the-art. (3) It presents a benchmark synthesis framework for generating synthetic benchmarks from a set of desired program statistics. ...
This PhD thesis [1] , awarded with the SPEC Distinguished Dissertation Award 2011, proposes and studies three workload generation and reduction techniques for microprocessor performance evaluation. (1) ...
The methodology to generate these benchmarks comprises two key steps: (i) profiling a real-world (proprietary) application (that is compiled at a low optimization level) to measure its execution characteristics ...
doi:10.1145/2188286.2188313
dblp:conf/wosp/ErtveldeE12
fatcat:divo5bku7vbkddnnsqyumklziy
Distributed multi-layered workload synthesis for testing stream processing systems
2008
2008 Winter Simulation Conference
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We present a scalable framework for synthesis of distributed workload based on identifying different layers of workload corresponding to different time-scales. ...
The workload should have realistic volumetric and contextual statistics at different levels: user level, application level, packet level etc. ...
Note that a complete tree traversal from root to leaf and a content generation is executed at each atomic increment of the iterator. ...
doi:10.1109/wsc.2008.4736167
dblp:conf/wsc/BouilletDGLPZ08
fatcat:6d4tv3d4cjembgqgwikck225ty
Performance Cloning: A Technique for Disseminating Proprietary Applications as Benchmarks
2006
2006 IEEE International Symposium on Workload Characterization
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Unlike previously proposed workload synthesis techniques, we only model microarchitectureindependent performance attributes into the synthetic clone. ...
By using a set of embedded benchmarks from the MediaBench and MiBench suites, we demonstrate that the performance and power consumption of the synthetic clone correlates well with that of the original ...
Figure 2 shows an example statistical flow graph that is generated by profiling the execution of a program. ...
doi:10.1109/iiswc.2006.302734
dblp:conf/iiswc/JoshiEBJ06
fatcat:hbxfvaxogjerxmslexs5delbqm
Distilling the essence of proprietary workloads into miniature benchmarks
2008
ACM Transactions on Architecture and Code Optimization (TACO)
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embedded workloads considered in the original paper; (2) It characterizes the data locality of general-purpose and scientific benchmarks and shows that the memory access patterns of these programs can ...
However, composing such representative workloads A preliminary version of this paper entitled "Performance Cloning: A Technique for Disseminating Proprietary Applications as Benchmarks," by A. ...
The approach used in statistical simulation is to generate a short synthetic trace from a statistical profile of workload attributes, such as basic block size distribution, branch misprediction rate, data ...
doi:10.1145/1400112.1400115
fatcat:ne6kmguvufhvlaty3nowlknh54
Workloads of the Future
2008
IEEE Design & Test of Computers
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Sensor networks and distributed information-capture devices are fundamentally changing the nature of the Internet from download centric to upload rich (see Figure 1 ). ...
The IT infrastructure is moving away from the desktop and laptop model to centralized servers, communicating with ubiquitously distributed (and often mobile) access devices. ...
In fact, the system reliability is a statistical property, which results from the combination of the statistics of the individual components. ...
doi:10.1109/mdt.2008.118
fatcat:4uyaaojnsbajpj3dyzpcbdyx5y
Comprehensive and Efficient Workload Compression
[article]
2021
arXiv
pre-print
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This work studies the problem of constructing a representative workload from a given input analytical query workload where the former serves as an approximation with guarantees of the latter. ...
., a representative workload, over time. To construct such a workload in a principled manner, we formalize the notions of workload representativity and coverage. ...
numeric values that are derived from profiling statistics of the query. ...
arXiv:2011.05549v2
fatcat:owo3fie7zfaadap3o4bhceqf7q
Using cycle stacks to understand scaling bottlenecks in multi-threaded workloads
2011
2011 IEEE International Symposium on Workload Characterization (IISWC)
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As a subsequent step, we further extend the methodology to analyze sets of parallel workloads using statistical data analysis, and perform a workload characterization to understand behavioral differences ...
We analyze the SPLASH-2, PARSEC and Rodinia benchmark suites and conclude that the three benchmark suites cover similar areas in the workload space. ...
Statistical data analysis using principal component analysis (PCA) allows for analyzing general performance trends across workloads and system settings. ...
doi:10.1109/iiswc.2011.6114195
dblp:conf/iiswc/HeirmanCCSE11
fatcat:6rlbwuoia5g7rh3w5dufabf6cu
Parameterized Characterization of Bioinfomatics Workload on SIMD Architecture
2006
2006 International Conference on Information and Automation
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A set of sixteen widely used bioinformatics applications is selected as benchmark. Software monitoring techniques are used to collect execution traces. ...
These profiles are compute intensive and offers a wide range of computation pattern ranging from data base searching applications to highly irregular phylogenetic trees. ...
Section B describes the benchmark applications that are selected from widely use websites.
A. ...
doi:10.1109/icinfa.2006.374110
fatcat:m3enylpalzas5dheluuvtnv7ou
Control-theoretic dynamic frequency and voltage scaling for multimedia workloads
2002
Proceedings of the international conference on Compilers, architecture, and synthesis for embedded systems - CASES '02
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the same workload. ...
the average frame delay within 10% of the target more than 90% of the time, whereas the change-point detection algorithm kept the average frame delay with 10% of the target only 70% or less of the time executing ...
CCR-0105626, CCR-0133634, and a grant from Intel MRL. We would also like to thank T. Simunic, J. Pouwelse, and the anonymous reviewers for their helpful comments. ...
doi:10.1145/581630.581654
dblp:conf/cases/LuHHSLS02
fatcat:fugxnz4uu5cwnatboogiek5tly
Control-theoretic dynamic frequency and voltage scaling for multimedia workloads
2002
Proceedings of the international conference on Compilers, architecture, and synthesis for embedded systems - CASES '02
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the same workload. ...
the average frame delay within 10% of the target more than 90% of the time, whereas the change-point detection algorithm kept the average frame delay with 10% of the target only 70% or less of the time executing ...
However, that technique uses profiling to predict energy per instruction and instructions per frame statistics. ...
doi:10.1145/581652.581654
fatcat:h2mr36m2bfgljc7tzwkjegc3f4
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads
[article]
2018
arXiv
pre-print
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We propose a data motif-based proxy benchmark generating methodology by means of machine learning method, which combine data motifs with different weights to mimic the big data and AI workloads. ...
Moreover, the generated proxy benchmarks reflect consistent performance trends across different architectures. ...
Synthetic benchmark is to generate assembly code or C code based on workload profiling [37] , and can work on real hardware as well as execution-driven simulators. ...
arXiv:1810.09376v1
fatcat:ingrwyjpobavzhujbukj2gwfkm
Energy-Efficient Cluster Computing via Accurate Workload Characterization
2009
2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
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Using the NAS Parallel Benchmarks as our workload, we then evaluate our eco-friendly daemon on a cluster computer. ...
This paper presents an eco-friendly daemon that reduces power and energy consumption while better maintaining high performance via an accurate workload characterization that infers "processor stall cycles ...
time
Figure 5 .Figure 6 .Figure 7 . 567 Performance loss on NAS parallel benchmarks CPU energy savings on NAS parallel benchmarks Overall energy savings on NAS parallel benchmarks
Table 1 . 1 Statistics ...
doi:10.1109/ccgrid.2009.88
dblp:conf/ccgrid/HuangF09
fatcat:zumw7o3ep5bi5nmv2ri5zzbq5m
TransPlant: A parameterized methodology for generating transactional memory workloads
2009
2009 IEEE International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems
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In this work, we propose techniques to generate parameterized transactional memory benchmarks based on a feature set, decoupled from the underlying transactional model. ...
Using principle component analysis, clustering, and raw transactional performance metrics, we show that TransPlant can generate benchmarks with features that lie outside the boundary occupied by these ...
Benchmark Synthesis Statistical simulation [16] and workload synthesis [15] capture the underlying statistical behavior of a program and use this information to generate a trace or a new representative ...
doi:10.1109/mascot.2009.5366659
dblp:conf/mascots/PoeHL09
fatcat:rjzy6za7vfbvzidx2yxoacmwra
Resource Usage Estimation of Data Stream Processing Workloads in Datacenter Clouds
[article]
2015
arXiv
pre-print
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Recent work has explored the use of statistical techniques for resource estimation of SQL queries and OLTP workloads. ...
We have validated the models using both the linear road benchmark and the TPC-H, observing high accuracy under a number of error metrics: mean-square error, continuous ranked probability score, and negative ...
In addition, it has already been successfully applied in the other domains such as statistical parametric speech synthesis, finance, meteorology. ...
arXiv:1501.07020v1
fatcat:3zvy2tglgfc6dnfsnv4jwlwkra
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