SILVANO, CRISTINA
 Distribuzione geografica
Continente #
NA - Nord America 1818
EU - Europa 937
AS - Asia 500
AF - Africa 58
SA - Sud America 46
OC - Oceania 8
Continente sconosciuto - Info sul continente non disponibili 1
Totale 3368
Nazione #
US - Stati Uniti d'America 1727
IT - Italia 288
CN - Cina 275
DE - Germania 173
FR - Francia 109
GB - Regno Unito 75
IN - India 61
CZ - Repubblica Ceca 59
CA - Canada 57
PT - Portogallo 42
VN - Vietnam 41
GR - Grecia 40
RU - Federazione Russa 36
SC - Seychelles 36
CL - Cile 29
BZ - Belize 25
ID - Indonesia 16
IE - Irlanda 16
JP - Giappone 16
KR - Corea 16
SE - Svezia 14
ZA - Sudafrica 13
TW - Taiwan 12
BR - Brasile 11
IR - Iran 11
NL - Olanda 11
CH - Svizzera 10
PK - Pakistan 10
PL - Polonia 10
TR - Turchia 10
HK - Hong Kong 9
AT - Austria 8
AU - Australia 8
RO - Romania 8
BE - Belgio 7
ES - Italia 6
IQ - Iraq 6
UA - Ucraina 6
HN - Honduras 5
CO - Colombia 4
DZ - Algeria 4
FI - Finlandia 4
MY - Malesia 4
SG - Singapore 4
HU - Ungheria 3
MA - Marocco 3
BO - Bolivia 2
DK - Danimarca 2
LU - Lussemburgo 2
PR - Porto Rico 2
RS - Serbia 2
A1 - ???statistics.table.value.countryCode.A1??? 1
BG - Bulgaria 1
BH - Bahrain 1
CY - Cipro 1
EG - Egitto 1
GE - Georgia 1
JO - Giordania 1
LT - Lituania 1
LV - Lettonia 1
MK - Macedonia 1
MV - Maldive 1
MX - Messico 1
NG - Nigeria 1
NO - Norvegia 1
OM - Oman 1
PA - Panama 1
PH - Filippine 1
SA - Arabia Saudita 1
SK - Slovacchia (Repubblica Slovacca) 1
SY - Repubblica araba siriana 1
Totale 3368
Città #
Buffalo 173
Fairfield 155
Houston 151
Ann Arbor 97
Woodbridge 86
Milan 85
Seattle 78
Henderson 74
Santa Cruz 74
Wilmington 73
Paris 69
Saint Louis 58
Ashburn 55
Cambridge 49
Shenyang 37
Beijing 32
Dong Ket 29
Brierley Hill 26
Guangzhou 26
Belize City 25
Chicago 24
Los Angeles 24
Phoenix 23
Wuhan 22
Mahé 21
Changsha 20
San Diego 18
Boardman 15
Dublin 15
Bengaluru 14
Clearwater 14
Encino 14
Las Vegas 13
Porto 13
Tettnang 13
University Park 13
Bologna 12
Toronto 12
Chengdu 11
Nanjing 11
Iráklion 10
Jinan 10
Mountain View 10
Muizenberg 10
Norwalk 10
Shanghai 10
Chongqing 9
Ostrava 9
Ottawa 9
Taipei 9
Napoli 8
New York 8
San Antonio 8
Athens 7
Bergamo 7
Jakarta 7
Lake Forest 7
Redmond 7
Vancouver 7
Vila Nova De Gaia 7
Boulder 6
Central District 6
Fuzhou 6
Hyderabad 6
Irvine 6
Kingston 6
Rome 6
Vienna 6
Ürümqi 6
Austin 5
Dallas 5
Fremont 5
Hangzhou 5
Harbin 5
Kunming 5
Mumbai 5
Oleggio 5
Salerno 5
Trieste 5
Ankara 4
Atlanta 4
Ferrara 4
Fleming Island 4
Florissant 4
Groningen 4
Hartford 4
Milpitas 4
Naples 4
Saarbrücken 4
San Pedro Sula 4
Scranton 4
Xian 4
Zurich 4
Bangalore 3
Bayreuth 3
Bickenbach 3
Blacksburg 3
Brooklyn 3
Büdelsdorf 3
Champaign 3
Totale 2124
Nome #
A survey on compiler autotuning using machine learning, file e0c31c0c-fe4e-4599-e053-1705fe0aef77 1004
Automatic Tuning of Compilers Using Machine Learning, file e0c31c0d-07a1-4599-e053-1705fe0aef77 295
SOCRATES - A seamless online compiler and system runtime autotuning framework for energy-aware applications, file e0c31c0c-bbd8-4599-e053-1705fe0aef77 278
Accelerating a Geometric Approach to Molecular Docking with OpenACC, file e0c31c0d-19f3-4599-e053-1705fe0aef77 278
MiCOMP: Mitigating the Compiler Phase-Ordering Problem Using Optimization Sub-Sequences and Machine Learning, file e0c31c0d-15a5-4599-e053-1705fe0aef77 259
Autotuning and adaptivity approach for energy efficient Exascale HPC systems: The ANTAREX approach, file e0c31c0c-f56f-4599-e053-1705fe0aef77 234
ANTAREX - AutoTuning and adaptivity approach for energy efficient eXascale HPC systems, file e0c31c0c-c110-4599-e053-1705fe0aef77 218
The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems, file e0c31c0c-cc98-4599-e053-1705fe0aef77 209
The ANTAREX approach to autotuning and adaptivity for energy efficient HPC Systems, file e0c31c0c-f569-4599-e053-1705fe0aef77 167
The ANTAREX domain specific language for high performance computing, file e0c31c0f-0165-4599-e053-1705fe0aef77 143
An Efficient Monte Carlo-based Probabilistic Time-Dependent Routing Calculation Targeting a Server-Side Car Navigation System, file e0c31c0e-ea2a-4599-e053-1705fe0aef77 132
Exploiting OpenMP and OpenACC to accelerate a geometric approach to molecular docking in heterogeneous HPC nodes, file e0c31c0e-71ef-4599-e053-1705fe0aef77 128
Autotuning and adaptivity in energy efficient HPC systems: The ANTAREX toolbox, file e0c31c0c-f25d-4599-e053-1705fe0aef77 76
SPIRIT: Spectral-Aware Pareto Iterative Refinement Optimization for Supervised High-Level Synthesis, file e0c31c0e-ba41-4599-e053-1705fe0aef77 61
Pegasus: Performance Engineering for Software Applications Targeting HPC Systems, file e0c31c10-e22e-4599-e053-1705fe0aef77 49
DeSpErate++: An enhanced design space exploration framework using predictive simulation scheduling, file e0c31c0e-c04a-4599-e053-1705fe0aef77 40
An extreme-scale virtual screening platform for drug discovery, file b0df9fcb-95c2-42ee-9582-3ac6e4ff24ec 28
mARGOt: a Dynamic Autotuning Framework for Self-aware Approximate Computing, file e0c31c0f-278d-4599-e053-1705fe0aef77 25
Workload- and process-variation aware voltage/frequency tuning for energy efficient performance sustainability of NTC manycores, file e0c31c0f-27fd-4599-e053-1705fe0aef77 22
An Hybrid Approach to accelerate a Molecular Docking Application for Virtual Screening in Heterogeneous Nodes, file e0c31c10-9842-4599-e053-1705fe0aef77 21
Design space pruning and computational workload splitting for autotuning OpenCL applications, file e0c31c0c-bbda-4599-e053-1705fe0aef77 19
Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App, file e0c31c10-b0f2-4599-e053-1705fe0aef77 9
COBAYN: Compiler autotuning framework using Bayesian networks, file e0c31c12-6981-4599-e053-1705fe0aef77 9
SPIRIT: Spectral-Aware Pareto Iterative Refinement Optimization for Supervised High-Level Synthesis, file e0c31c07-be33-4599-e053-1705fe0aef77 5
The first 25 years of the FPL conference: Significant papers, file e0c31c0c-bf2d-4599-e053-1705fe0aef77 3
A Tile-based Fused-layer CNN Accelerator for FPGAs, file e0c31c10-b6e1-4599-e053-1705fe0aef77 3
Runtime Design Space Exploration and Mapping of DCNNs for the Ultra-Low-Power Orlando SoC, file e0c31c10-d690-4599-e053-1705fe0aef77 3
Floorplan-aware hierarchical NoC topology with GALS interfaces, file e0c31c07-fdf4-4599-e053-1705fe0aef77 2
Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App, file e0c31c0f-d2c1-4599-e053-1705fe0aef77 2
Floorplanning-aware design space exploration for application-specific hierarchical networks on-chip, file e0c31c07-f4a3-4599-e053-1705fe0aef77 1
MULTICUBE: Multi-objective Design Space Exploration of Multi-core Architectures, file e0c31c07-f4b6-4599-e053-1705fe0aef77 1
OSCAR: an Optimization Methodology Exploiting Spatial Correlation in Multi-core Design Spaces, file e0c31c07-fa4d-4599-e053-1705fe0aef77 1
Variation-aware voltage island formation for power efficient near-threshold manycore architectures, file e0c31c08-486b-4599-e053-1705fe0aef77 1
DeSpErate++: An enhanced design space exploration framework using predictive simulation scheduling, file e0c31c09-72c8-4599-e053-1705fe0aef77 1
A system-level exploration of power delivery architectures for near-threshold manycores considering performance constraints, file e0c31c0a-eac4-4599-e053-1705fe0aef77 1
Predictive modeling methodology for compiler phase-ordering, file e0c31c0a-eac5-4599-e053-1705fe0aef77 1
Throughput balancing for energy efficient near-threshold manycores, file e0c31c0a-f509-4599-e053-1705fe0aef77 1
Autotuning and adaptivity in energy efficient HPC systems: The ANTAREX toolbox, file e0c31c0c-75a9-4599-e053-1705fe0aef77 1
SOCRATES - A seamless online compiler and system runtime autotuning framework for energy-aware applications, file e0c31c0c-cfc6-4599-e053-1705fe0aef77 1
A survey on compiler autotuning using machine learning, file e0c31c0c-fe4f-4599-e053-1705fe0aef77 1
Accelerating a Geometric Approach to Molecular Docking with OpenACC, file e0c31c0d-0057-4599-e053-1705fe0aef77 1
Parallelized Convolutions for Embedded Ultra Low Power Deep Learning SoC, file e0c31c10-981e-4599-e053-1705fe0aef77 1
Design Space Exploration for Orlando Ultra Low-Power Convolutional Neural Network SoC, file e0c31c10-981f-4599-e053-1705fe0aef77 1
A tile-based fused-layer approach to accelerate DCNNs on low-density FPGAs, file e0c31c10-a979-4599-e053-1705fe0aef77 1
A Bayesian network approach for compiler auto-tuning for embedded processors, file e0c31c10-c898-4599-e053-1705fe0aef77 1
Totale 3738
Categoria #
all - tutte 4602
article - articoli 2346
book - libri 322
conference - conferenze 1934
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 9204


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/2019271 0000 00 2512 35597169
2019/2020834 56443160 4166 7372 1008611392
2020/20211344 898474125 234152 11885 9212368100
2021/2022780 763547124 8154 4631 644011765
2022/2023498 515118569 5337 520 0000
Totale 3738