13 research outputs found

    Enhancement of spin to charge conversion efficiency at the topological surface state by inserting normal metal spacer layer in the topological insulator based heterostructure

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    We report efficient spin to charge conversion (SCC) in the topological insulator (TI) based heterostructure (BiSbTe1.5Se1.5/Cu/Ni80Fe20BiSbTe_{1.5}Se_{1.5}/Cu/Ni_{80}Fe_{20}) by using spin-pumping technique where BiSbTe1.5Se1.5BiSbTe_{1.5}Se_{1.5} is the TI and Ni80Fe20Ni_{80}Fe_{20} is the ferromagnetic layer. The SCC, characterized by inverse Edelstein effect length (λIEE\lambda_{IEE}) in the TI material gets altered with an intervening Copper (Cu) layer and it depends on the interlayer thickness. The introduction of Cu layer at the interface of TI and ferromagnetic metal (FM) provides a new degree of freedom for tuning the SCC efficiency of the topological surface states. The significant enhancement of the measured spin-pumping voltage and the linewidth of ferromagnetic resonance (FMR) absorption spectra due to the insertion of Cu layer at the interface indicates a reduction in spin memory loss at the interface that resulted from the presence of exchange coupling between the surface states of TI and the local moments of ferromagnetic metal. The temperature dependence (from 8K to 300K) of the evaluated λIEE\lambda_{IEE} data for all the trilayer systems, TI/Cu/FM with different Cu thickness confirms the effect of exchange coupling between the TI and FM layer on the spin to charge conversion efficiency of the topological surface state

    Orca: FSS-based Secure Training with GPUs

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    Secure Two-party Computation (2PC) allows two parties to compute any function on their private inputs without revealing their inputs in the clear to each other. Since 2PC is known to have notoriously high overheads, one of the most popular computation models is that of 2PC with a trusted dealer, where a trusted dealer provides correlated randomness (independent of any input) to both parties during a preprocessing phase. Recent works construct efficient 2PC protocols in this model based on the cryptographic technique of function secret sharing (FSS). We build an end-to-end system Orca to accelerate the computation of FSS-based 2PC protocols with GPUs. Next, we observe that the main performance bottleneck in such accelerated protocols is in storage (due to the large amount of correlated randomness), and we design new FSS-based 2PC cryptographic protocols for several key functionalities in ML which reduce storage by up to 5×5\times. Compared to prior state-of-the-art on secure training accelerated with GPUs in the same computation model (Piranha, Usenix Security 2022), we show that Orca has 4%4\% higher accuracy, 123×123\times lesser communication, and is 19×19\times faster on CIFAR-10

    SIGMA: Secure GPT Inference with Function Secret Sharing

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    Secure 2-party computation (2PC) enables secure inference that offers protection for both proprietary machine learning (ML) models and sensitive inputs to them. However, the existing secure inference solutions suffer from high latency and communication overheads, particularly for transformers. Function secret sharing (FSS) is a recent paradigm for obtaining efficient 2PC protocols with a preprocessing phase. We provide SIGMA, the first end-to-end system for secure transformer inference based on FSS. By constructing new FSS-based protocols for complex machine learning functionalities, such as Softmax and GeLU, and also accelerating their computation on GPUs, SIGMA improves the latency of secure inference of transformers by 11−19×11-19\times over the state-of-the-art that uses preprocessing and GPUs. We present the first secure inference of generative pre-trained transformer (GPT) models. In particular, SIGMA executes GPT-Neo with 1.3 billion parameters in 7.4s and HuggingFace\u27s GPT2 in 1.6s

    Role of neck circumference in measuring obesity in healthy adults

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    Background: Visceral fat or intra-abdominal fat is the adipose tissue surrounding mesenteries and omentum. This has been linked to lifestyle diseases like heart diseases, arthritis, stroke and even cancer. At present we have three tools to measure visceral fat area (VFA) – Bio impedance analysis, Magnetic resonance analyser and DEXA scan. Neck circumference measurement is a simple, easy to do and a quantifiable method of measuring visceral fat. Aim & Objective: This study aims to find correlation of visceral body fat with Neck Circumference (NC) and Body Mass Index. Methodology: A cross sectional study was carried out in a medical college of western Maharashtra, wherein 290 healthy males (>18 years) were selected by simple random sampling over a period of 7 months from (February 2018 – August 2018). Data was analyzed using SPSS version 20.0. Visceral body fat was measured using Body Space 720 and neck circumference using measuring tape. Results: We found a significant association between neck circumference and VFA. There is a strong association between NC of >35cm and VFA >100cm2. NC can be useful in field settings as it can be used easily by health care workers in predicting risk of lifestyle diseases

    Decreased trend in hospital mortality from pancreatic cancer despite increase in number of hospital admissions.

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    BACKGROUND AND AIM:Pancreatic cancer is one of the common cancers in US and is associated with high mortality and morbidity. The objectives of our study were to look at the recent trends in the number of hospitalizations with pancreatic cancer. METHODS:We identified patients with a discharge diagnosis of pancreatic cancer in the National Inpatient Sample from 2007 to 2011 using International Classification of Diseases-Clinical Modification, 9th revision (ICD-9-CM) codes. We looked at the yearly trend in the hospitalizations with pancreatic cancer and the outcomes which included length of stay (LOS), hospital charges and in-hospital mortality. We also performed multivariate analysis to look for the predictors of mortality. RESULTS:There were 450, 414 patients with discharge diagnosis of pancreatic cancer. There was 18% increase in hospitalizations with pancreatic cancer in 2011 compared to 2007. Most of the patients were Caucasian (63%) with the mean age of 68 ± 0.14 years, had Medicare (57%) as primary insurance, were from Southern region (35%) and had higher Charlson Comorbidity Index (CCI) (87% with CCI > = 5). 6% underwent Whipple's procedure in the index hospitalization. After the adjustment for inflation, the mean hospital charges increased from 47,331in20007to 47,331 in 20007 to 53, 854 in 2011 (p = 0.01). LOS decreased from 7.31 ± 0.11 days in 2007 to 6.70 ± 0.09 days in 2011 (<0.001). Despite the increase in the number of hospitalizations of patients with pancreatic cancer, mortality decreased from 9.8% in 2007 to 8.1% in 2011 (p<0.001). On multivariate analysis, the independent factors associated with higher mortality were older age, male sex African-American race, insurance status other than Medicare, higher CCI and enrollment in palliative care. There was regional variation in mortality. Whipple's procedure conferred lower mortality. CONCLUSIONS:Our study showed downward trends in LOS and in-hospital mortality despite increasing hospitalizations with pancreatic cancer

    Decreased trend in hospital mortality from pancreatic cancer despite increase in number of hospital admissions

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    BACKGROUND AND AIM: Pancreatic cancer is one of the common cancers in US and is associated with high mortality and morbidity. The objectives of our study were to look at the recent trends in the number of hospitalizations with pancreatic cancer. METHODS: We identified patients with a discharge diagnosis of pancreatic cancer in the National Inpatient Sample from 2007 to 2011 using International Classification of Diseases-Clinical Modification, 9th revision (ICD-9-CM) codes. We looked at the yearly trend in the hospitalizations with pancreatic cancer and the outcomes which included length of stay (LOS), hospital charges and in-hospital mortality. We also performed multivariate analysis to look for the predictors of mortality. RESULTS: There were 450, 414 patients with discharge diagnosis of pancreatic cancer. There was 18% increase in hospitalizations with pancreatic cancer in 2011 compared to 2007. Most of the patients were Caucasian (63%) with the mean age of 68 ± 0.14 years, had Medicare (57%) as primary insurance, were from Southern region (35%) and had higher Charlson Comorbidity Index (CCI) (87% with CCI \u3e = 5). 6% underwent Whipple\u27s procedure in the index hospitalization. After the adjustment for inflation, the mean hospital charges increased from 47,331in20007to 47,331 in 20007 to 53, 854 in 2011 (p = 0.01). LOS decreased from 7.31 ± 0.11 days in 2007 to 6.70 ± 0.09 days in 2011 ( CONCLUSIONS: Our study showed downward trends in LOS and in-hospital mortality despite increasing hospitalizations with pancreatic cancer
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