Breaking Boundaries with Data Parallel C++ | oneAPI | Intel Software
45Programming languages are a dime a dozen; throw a rock in any direction and you’ll hit one. Question is … can you use any of them to program data-centric applications that are deployable across CPUs, GPUs, FPGAs, and AI accelerators? You can now.
There’s a new programming language in town. Called Data Parallel C++ (DPC++), it allows developers to reuse code across diverse hardware targets—CPUs and accelerators—and perform custom tuning for a specific accelerator.
DPC++ is part of oneAPI—an Intel-led initiative to create a unified programming model for cross-architecture development. Based on familiar C++ and SYCL*, DPC++ is an open alternative to single-architecture proprietary approaches and helps developers create solutions that better meet specialized workload requirements.
Tune in to watch Intel vice president Alice Chan discuss this shift in programming flexibility, including:
• Why cross-architecture development is a real need
• What DPC++ brings to the table for developers
• Why this non-proprietary approach will be more successful than other attempts for heterogeneous development (like OpenCL™)
• How open specifications will drive ecosystem innovation
• How to get it (hint: it’s part of the Intel® oneAPI Base Toolkit), plus an overview of what this toolkit offers
Learn more about Intel® oneAPI Beta Products: https://intel.ly/32zRjRq
Try your code in the Intel® DevCloud: https://software.intel.com/en-us/devcloud/oneapi
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Breaking Boundaries with Data Parallel C++ | oneAPI | Intel Software
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