AI TCH TH This Technology Life Why unified programming is the future of application development Moving an application to a new processor type or chip vendor means creating an entirely new code base. That extra cost and delay is never…
AI TCH TH This Technology Life Seamless code reuse with easy CUDA to SYCL migration Code reuse is an increasingly important consideration — even requirement — when programming applications for heterogeneous computing…
AI TCH TH This Technology Life Add Multiplatform Parallelism to C++ Workloads with SYCL Easy ways of CUDA-to-SYCL migration with SYCLomatic and Intel DPC++ Compatibility Tool
MDA AI TCH TH This Technology Life What Is Next for Accelerated Computing and oneAPI: A Panel Discussion At the oneAPI DevSummit 2023, industry experts came together to discuss the need for an open community-driven approach to performing…
ART TCH TH This Technology Life Compile Your C/C++ and SYCL Code Across Diverse Architectures Top 3 compilation advantages of using Intel’s LLVM-based C++ Compiler
AI TH This Technology Life Introducing the Intel Extension for PyTorch for GPUs The Intel Extension for PyTorch for GPU extends PyTorch with up-to-date features and optimizations for an extra performance boost on Intel…
LIF TCH TH This Technology Life oneDPL Empowers Your C++ Application for Cross-Device Parallel Programming with SYCL The concept of heterogeneous computing puts a lot more horsepower at the fingertips of present-day developers. By distributing various…