Intel Innovation Day 2: Key highlights and announcements – Times of India
On Day 2 of Intel Innovation, the chip giant illustrated its efforts and investments to foster an open ecosystem catalyze community innovation, from silicon to systems to apps and across all levels of the software stack.
Intel introduced new tools to support developers in artificial intelligence, security and quantum computing, and announced the first customers of its new Project Amber attestation service. “We are making good on our software-first strategy by empowering an open ecosystem that will enable us to collectively and continuously innovate,” said Intel chief technology officer Greg Lavender. “We are committed members of the developer community and our breadth and depth of hardware and software assets facilitate the scaling of opportunities for all through co-innovation and collaboration.”
In his keynote, Lavender emphasized Intel’s commitment to openness, choice and trust, beginning with oneAPI: a cross-industry, open, standards-based programming model that allows developers to choose the best architecture for the specific problem they are trying to solve. Building on oneAPI adoption and implementation progress, the initiative is shifting to a community forum to shape the future direction of oneAPI and address the evolving needs of developers, software vendors, national labs, researchers and silicon vendors. Codeplay, an Intel subsidiary providing cross-platform implementations of SYCL and oneAPI tools will now assume responsibility for the oneAPI development community.
The Intel oneAPI 2023 toolkits will ship in December with support for the latest and upcoming new CPU, GPU and FPGA architectures, and include tools like the open source SYCLomatic compatibility tool. SYCLomatic assists converting CUDA source code to SYCL source code, thus giving developers choice in computing architectures.
Intel also announced six more education and research institutions that have formed oneAPI Centers of Excellence to expand oneAPI support in important applications and extend oneAPI educational curriculum development. The new COEs include School of Software and Microelectronics of Peking University, Science and Technology Facilities Council in the UK, Technion Israel Institute of Technology, University of Utah in collaboration with Lawrence Livermore National Laboratory (LLNL), University of California San Diego and the Zuse Institute Berlin.
For developers looking to build new AI solutions in a fast, efficient and industry-specific manner, Intel released three new AI reference kits for healthcare: document automation, disease prediction and medical imaging diagnostics. Developers can find them on GitHub, alongside the four kits released in July.
“Our goal is to make it easy for developers to get the best software technology through the open source ecosystem or as Intel-delivered products,” Lavender said. And though they may not realize it, some 90% of developers are using software developed or optimized by Intel, according to a Global Development Survey conducted by Evans Data Corp. in 2021. Among many examples, Intel has been a top contributor to the Linux kernel for over a decade, and recently helped integrate the oneDNN performance library to TensorFlow, automatically bringing up to a 3x performance improvement to the millions that use the popular AI framework.
Lavender also detailed progress toward post-quantum cryptography, a part of Intel’s three-phased approach to address threats posed by quantum computers outlined at Intel Vision in May. Recent developments toward standardization and raising the urgency of opportunities and risks “are major steps forward for our industry as it prepares to be Y2Q-ready or quantum-resistant by 2030,” Lavender said. “Many believe Y2Q will have a bigger impact than the ‘millennium bug’ in the year 2000.”
As part of Intel’s goal to bring neuromorphic technology to commercial reality, Intel Labs announced new tools for developers including Kapoho Point, a stackable multi-board platform based on the Loihi 2 research chip, updates to its Lava open software development framework and the addition of new members and eight Intel-sponsored university projects to the Intel Neuromorphic Research Community (INRC).
Intel introduced new tools to support developers in artificial intelligence, security and quantum computing, and announced the first customers of its new Project Amber attestation service. “We are making good on our software-first strategy by empowering an open ecosystem that will enable us to collectively and continuously innovate,” said Intel chief technology officer Greg Lavender. “We are committed members of the developer community and our breadth and depth of hardware and software assets facilitate the scaling of opportunities for all through co-innovation and collaboration.”
In his keynote, Lavender emphasized Intel’s commitment to openness, choice and trust, beginning with oneAPI: a cross-industry, open, standards-based programming model that allows developers to choose the best architecture for the specific problem they are trying to solve. Building on oneAPI adoption and implementation progress, the initiative is shifting to a community forum to shape the future direction of oneAPI and address the evolving needs of developers, software vendors, national labs, researchers and silicon vendors. Codeplay, an Intel subsidiary providing cross-platform implementations of SYCL and oneAPI tools will now assume responsibility for the oneAPI development community.
The Intel oneAPI 2023 toolkits will ship in December with support for the latest and upcoming new CPU, GPU and FPGA architectures, and include tools like the open source SYCLomatic compatibility tool. SYCLomatic assists converting CUDA source code to SYCL source code, thus giving developers choice in computing architectures.
Intel also announced six more education and research institutions that have formed oneAPI Centers of Excellence to expand oneAPI support in important applications and extend oneAPI educational curriculum development. The new COEs include School of Software and Microelectronics of Peking University, Science and Technology Facilities Council in the UK, Technion Israel Institute of Technology, University of Utah in collaboration with Lawrence Livermore National Laboratory (LLNL), University of California San Diego and the Zuse Institute Berlin.
For developers looking to build new AI solutions in a fast, efficient and industry-specific manner, Intel released three new AI reference kits for healthcare: document automation, disease prediction and medical imaging diagnostics. Developers can find them on GitHub, alongside the four kits released in July.
“Our goal is to make it easy for developers to get the best software technology through the open source ecosystem or as Intel-delivered products,” Lavender said. And though they may not realize it, some 90% of developers are using software developed or optimized by Intel, according to a Global Development Survey conducted by Evans Data Corp. in 2021. Among many examples, Intel has been a top contributor to the Linux kernel for over a decade, and recently helped integrate the oneDNN performance library to TensorFlow, automatically bringing up to a 3x performance improvement to the millions that use the popular AI framework.
Lavender also detailed progress toward post-quantum cryptography, a part of Intel’s three-phased approach to address threats posed by quantum computers outlined at Intel Vision in May. Recent developments toward standardization and raising the urgency of opportunities and risks “are major steps forward for our industry as it prepares to be Y2Q-ready or quantum-resistant by 2030,” Lavender said. “Many believe Y2Q will have a bigger impact than the ‘millennium bug’ in the year 2000.”
As part of Intel’s goal to bring neuromorphic technology to commercial reality, Intel Labs announced new tools for developers including Kapoho Point, a stackable multi-board platform based on the Loihi 2 research chip, updates to its Lava open software development framework and the addition of new members and eight Intel-sponsored university projects to the Intel Neuromorphic Research Community (INRC).
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