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| Tech/API | Description of latest features | Version | Literature |
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| OpenMP | Support for controlling offloading behavior (it is possible to offload to GPUs as well), extensions regarding thread affinity information management (affinity added to the task construct), data mapping clarifications and extensions, extended support for various C++ and Fortran versions | 5.0 | [7] |
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| CUDA | Improved the scalability of cudaFree in multi-GPU environments, support for cooperative group kernels with MPS, new cuBLASLt library has been added for general matrix GEMM operations, cuBLASLt now has support for FP16 matrix multiplies using tensor cores on volta and turing GPUs, improved performance of cuFFT on multi-GPU systems, some random generators in cuRAND | 10.1 | [8] |
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| OpenCL | Minor changes in the latest 2.1 to 2.2 update, e.g., added calls to clSetProgramSpecializationConstant and clSetProgramReleaseCallback, major changes in 1.2 to 2.0 update including shared virtual memory, device queues used to enqueue kernels on a device, added the possibility for kernels enqueing kernels using a device queue | 2.2 | [9] |
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| OpenACC | Reduction clause on in a compute construct assumes a copy for each reduction variable, arrays and composite variables are allowed in reduction clauses, local device defined | 2.7 | [10] |
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| Java Conc. | An interoperable publish-subscribe framework with flow class and various other improvements | 9 | [67] |
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| MPI | Introduction of nonblocking collective I/O routines, corrections in Fortran bindings | 3.1 | [26] |
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| OpenSHMEM | Multithreading support, extended type support, C11 type-generic interfaces for point-to-point synchronization, additional functions and extensions to the existing ones | 1.4 | [68] |
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| Apache Hadoop | Support for opportunistic containers, i.e., containers that are scheduled even if there is not enough resources to run them. Opportunistic containers wait for resource availability and since they have low priority, they are preempted if higher priority jobs are scheduled | 3.0.3 | [69] |
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| Apache Spark | Built-in avro datasource, support for eager evaluation of DataFrames | 2.4 | [70] |
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