ADVERTISEMENT

AMD powers demand for high-performance computing (HPC) workloads

Published Jan 17, 2022 09:00 am

AMD logo

Advanced Micro Devices, Inc. (AMD) announced Amazon Web Services, Inc. (AWS) has expanded its AMD EPYC processor-based offerings with the general availability of the new Amazon EC2 Hpc6a instances -- purpose-built for high-performance computing (HPC) workloads in the cloud.

Per AWS, Amazon EC2 Hpc6a instances deliver up to 65% better price-performance compared to similar Amazon EC2 instances. Hpc6a will help customers run their most compute-intensive HPC workloads like genomics, computational fluid dynamics, weather forecasting, financial risk modeling, EDA for semiconductor design, computer-aided engineering, and seismic imaging.

Throughout the HPC industry, there has been a growing preference for AMD as showcased by AMD EPYC processors powering 73 supercomputers on the latest Top500 list and holding 70 HPC world records. The new Hpc6a instances bring the leadership performance and capabilities of 3rd Gen AMD EPYC processors to compute-optimized Amazon EC2 instances used for highly complex HPC workloads.

“Our processors power all levels of HPC, from exascale systems in research laboratories to flexible HPC cloud computing instances like the new Amazon EC2 Hpc6a instances. AMD EPYC processors provide a powerful solution for Amazon EC2 customers that need access to impressive HPC performance and cloud scalability for their workloads. Our work with AWS exemplifies our commitment to powering cutting-edge technology in the HPC industry and helping customers find answers to the world’s most pressing questions,” according to Dan McNamara, Senior Vice-President and General Manager of Server Business at AMD.

The instances powered by 3rd Gen AMD EPYC processors are available today in US East (Ohio) and AWS GovCloud (US-West), with availability in additional AWS Regions planned soon. AWS customers can visit the Amazon EC2 Hpc6a instances page to get started.

“Amazon EC2 Hpc6a instances, powered by 3rd Gen AMD EPYC processors, allow organizations the flexibility to run HPC workloads requiring an abundance of compute power, fast memory and storage, and high levels of inter-instance communication without the upfront cost of building and maintaining HPC infrastructure on-premises. We’re excited to continue our collaboration with AMD and add another crucial AMD EPYC instance to the Amazon EC2 portfolio,” said David Brown, Vice-President, Amazon EC2, AWS.

ADVERTISEMENT
.most-popular .layout-ratio{ padding-bottom: 79.13%; } @media (min-width: 768px) and (max-width: 1024px) { .widget-title { font-size: 15px !important; } }

{{ articles_filter_1561_widget.title }}

.most-popular .layout-ratio{ padding-bottom: 79.13%; } @media (min-width: 768px) and (max-width: 1024px) { .widget-title { font-size: 15px !important; } }

{{ articles_filter_1562_widget.title }}

.most-popular .layout-ratio{ padding-bottom: 79.13%; } @media (min-width: 768px) and (max-width: 1024px) { .widget-title { font-size: 15px !important; } }

{{ articles_filter_1563_widget.title }}

{{ articles_filter_1564_widget.title }}

.mb-article-details { position: relative; } .mb-article-details .article-body-preview, .mb-article-details .article-body-summary{ font-size: 17px; line-height: 30px; font-family: "Libre Caslon Text", serif; color: #000; } .mb-article-details .article-body-preview iframe , .mb-article-details .article-body-summary iframe{ width: 100%; margin: auto; } .read-more-background { background: linear-gradient(180deg, color(display-p3 1.000 1.000 1.000 / 0) 13.75%, color(display-p3 1.000 1.000 1.000 / 0.8) 30.79%, color(display-p3 1.000 1.000 1.000) 72.5%); position: absolute; height: 200px; width: 100%; bottom: 0; display: flex; justify-content: center; align-items: center; padding: 0; } .read-more-background a{ color: #000; } .read-more-btn { padding: 17px 45px; font-family: Inter; font-weight: 700; font-size: 18px; line-height: 16px; text-align: center; vertical-align: middle; border: 1px solid black; background-color: white; } .hidden { display: none; }
function initializeAllSwipers() { // Get all hidden inputs with cms_article_id document.querySelectorAll('[id^="cms_article_id_"]').forEach(function (input) { const cmsArticleId = input.value; const articleSelector = '#article-' + cmsArticleId + ' .body_images'; const swiperElement = document.querySelector(articleSelector); if (swiperElement && !swiperElement.classList.contains('swiper-initialized')) { new Swiper(articleSelector, { loop: true, pagination: false, navigation: { nextEl: '#article-' + cmsArticleId + ' .swiper-button-next', prevEl: '#article-' + cmsArticleId + ' .swiper-button-prev', }, }); } }); } setTimeout(initializeAllSwipers, 3000); const intersectionObserver = new IntersectionObserver( (entries) => { entries.forEach((entry) => { if (entry.isIntersecting) { const newUrl = entry.target.getAttribute("data-url"); if (newUrl) { history.pushState(null, null, newUrl); let article = entry.target; // Extract metadata const author = article.querySelector('.author-section').textContent.replace('By', '').trim(); const section = article.querySelector('.section-info ').textContent.replace(' ', ' '); const title = article.querySelector('.article-title h1').textContent; // Parse URL for Chartbeat path format const parsedUrl = new URL(newUrl, window.location.origin); const cleanUrl = parsedUrl.host + parsedUrl.pathname; // Update Chartbeat configuration if (typeof window._sf_async_config !== 'undefined') { window._sf_async_config.path = cleanUrl; window._sf_async_config.sections = section; window._sf_async_config.authors = author; } // Track virtual page view with Chartbeat if (typeof pSUPERFLY !== 'undefined' && typeof pSUPERFLY.virtualPage === 'function') { try { pSUPERFLY.virtualPage({ path: cleanUrl, title: title, sections: section, authors: author }); } catch (error) { console.error('ping error', error); } } // Optional: Update document title if (title && title !== document.title) { document.title = title; } } } }); }, { threshold: 0.1 } ); function showArticleBody(button) { const article = button.closest("article"); const summary = article.querySelector(".article-body-summary"); const body = article.querySelector(".article-body-preview"); const readMoreSection = article.querySelector(".read-more-background"); // Hide summary and read-more section summary.style.display = "none"; readMoreSection.style.display = "none"; // Show the full article body body.classList.remove("hidden"); } document.addEventListener("DOMContentLoaded", () => { let loadCount = 0; // Track how many times articles are loaded const offset = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]; // Offset values const currentUrl = window.location.pathname.substring(1); let isLoading = false; // Prevent multiple calls if (!currentUrl) { console.log("Current URL is invalid."); return; } const sentinel = document.getElementById("load-more-sentinel"); if (!sentinel) { console.log("Sentinel element not found."); return; } function isSentinelVisible() { const rect = sentinel.getBoundingClientRect(); return ( rect.top < window.innerHeight && rect.bottom >= 0 ); } function onScroll() { if (isLoading) return; if (isSentinelVisible()) { if (loadCount >= offset.length) { console.log("Maximum load attempts reached."); window.removeEventListener("scroll", onScroll); return; } isLoading = true; const currentOffset = offset[loadCount]; window.loadMoreItems().then(() => { let article = document.querySelector('#widget_1690 > div:nth-last-of-type(2) article'); intersectionObserver.observe(article) loadCount++; }).catch(error => { console.error("Error loading more items:", error); }).finally(() => { isLoading = false; }); } } window.addEventListener("scroll", onScroll); });

Sign up by email to receive news.