statistiche ricercatore

Nazione	#
US - Stati Uniti d'America	604
IT - Italia	284
CN - Cina	259
SG - Singapore	205
VN - Vietnam	121
BD - Bangladesh	83
HK - Hong Kong	80
NL - Olanda	48
FR - Francia	40
GB - Regno Unito	37
KR - Corea	37
DE - Germania	36
IN - India	30
SE - Svezia	28
FI - Finlandia	25
BR - Brasile	22
BG - Bulgaria	19
ES - Italia	18
CA - Canada	17
JP - Giappone	16
CI - Costa d'Avorio	14
SC - Seychelles	14
ID - Indonesia	12
PH - Filippine	10
RU - Federazione Russa	10
IE - Irlanda	9
TH - Thailandia	8
TW - Taiwan	8
ZA - Sudafrica	8
BE - Belgio	7
CH - Svizzera	7
MX - Messico	6
TR - Turchia	6
TG - Togo	5
AT - Austria	4
CR - Costa Rica	4
EG - Egitto	4
IQ - Iraq	4
AR - Argentina	3
JO - Giordania	3
PK - Pakistan	3
PL - Polonia	3
DZ - Algeria	2
ET - Etiopia	2
KE - Kenya	2
MY - Malesia	2
PY - Paraguay	2
SA - Arabia Saudita	2
AE - Emirati Arabi Uniti	1
AZ - Azerbaigian	1
CL - Cile	1
CO - Colombia	1
EC - Ecuador	1
HR - Croazia	1
IL - Israele	1
LB - Libano	1
LU - Lussemburgo	1
MA - Marocco	1
NG - Nigeria	1
NP - Nepal	1
NZ - Nuova Zelanda	1
PT - Portogallo	1
RO - Romania	1
SK - Slovacchia (Repubblica Slovacca)	1
TT - Trinidad e Tobago	1
UA - Ucraina	1
UZ - Uzbekistan	1
Totale	2.192

Nome	#
A mixed-precision RISC-V processor for extreme-edge DNN inference	334
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks	275
A 1.15 TOPS/W, 16-Cores Parallel Ultra-Low Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode	244
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2???8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing	242
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode	233
A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics	228
End-To-end 100-TOPS/W Inference with Analog In-Memory Computing: Are We There Yet?	185
Culsans: An Efficient Snoop-based Coherency Unit for the CVA6 Open Source RISC-V application processor	158
Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83% FPU Utilization Dual-Chiplet, Dual-HBM2E RISC-V-Based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET	130
22.1 A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing	125
Ramping Up Open-Source RISC-V Cores: Assessing the Energy Efficiency of Superscalar, Out-of-Order Execution	89
Totale	2.243

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	228	6	2	6	11	8	8	12	23	36	25	70	21
2022/2023	213	26	21	10	23	11	18	10	9	23	9	36	17
2023/2024	120	3	9	8	14	17	15	13	3	1	23	7	7
2024/2025	414	22	36	44	27	33	30	19	20	5	43	48	87
2025/2026	1.160	97	102	88	62	98	45	128	40	194	95	107	104
2026/2027	39	39	0	0	0	0	0	0	0	0	0	0	0
Totale													2.243

CRIS Current Research Information System