As an increasing number of leadership-class systems embrace GPU accelerators in the race towards exascale, efficient communication of GPU data is becoming one of the most critical components of high-performance computing. For developers of parallel programming models, implementing support for GPUaware communication using native APIs for GPUs such as CUDA can be a daunting task as it requires considerable effort with little guarantee of performance. In this work, we demonstrate the capability of the Unified Communication X (UCX) framework to compose a GPU-aware communication layer that serves multiple parallel programming models developed out of the Charm++ ecosystem, including MPI and Python: Charm++, Adaptive MPI (AMPI), and Charm4py. We demonstrate the performance impact of our designs with microbenchmarks adapted from the OSU benchmark suite, obtaining improvements in latency of up to 10.2x, 11.7x, and 17.4x in Charm++, AMPI, and Charm4py, respectively. We also observe increases in bandwidth of up to 9.6x in Charm++, 10x in AMPI, and 10.5x in Charm4py. We show the potential impact of our designs on real-world applications by evaluating weak and strong scaling performance of a proxy application that performs the Jacobi iterative method, improving the communication performance by up to 12.4x in Charm++, 12.8x in AMPI, and 19.7x in Charm4py.
Introduction and Aim: Raised cardiovascular morbidity is common among patients with primary hypothyroidism. Study of electrocardiogram (ECG) and echocardiography (ECHO) and correlation with lipid profile may help in early detection of cardiovascular diseases in hypothyroidism. By this study, we aimed at studying the cardiovascular profile in patients with primary hypothyroidism and correlating ECHO and ECG changes in primary hypothyroidism with the LDL cholesterol.
Materials and Methods: This was a single centre cross-sectional observational study. All patients diagnosed with primary hypothyroidism were included. The laboratory parameters pertaining to primary hypothyroidism were recorded. ECG and ECHO were noted and correlated with lipid profile.
Results: Total 240 subjects were selected according to inclusion and exclusion criteria, of which males were 25% and females 75%. Mean ± SD of LDL-C among subjects having ST-T changes was 160.98 ±14.86. Mean ± SD of LDL-C among subjects having no ST-T changes was 128±10.15. Unpaired student t test was used to compare mean of lipid profile in patient having ST-T changes with patients having no ST-T changes. A strong correlation was observed between LDL cholesterol and ST-T changes in ECG (P value =0.001)
Conclusion: Diastolic dysfunction is more common than systolic dysfunction in primary hypothyroidism. LDL levels were high in patients with primary hypothyroidism who had ST-T changes in electrocardiogram. Levothyroxine replacement causes decrease in Total as well as LDL cholesterol in primary hypothyroidism. ECG changes correlated with abnormal lipid profile in patients with primary hypothyroidism.
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