Search Results for "simd"

...These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection. We provide a live demo provisioned with the latest QuestDB release and sample datasets.

UniSIMD assembler is a high-level C/C++ macro assembler framework unified across ARM, MIPS, POWER and x86 architectures. It establishes a subset of both BASE and SIMD instruction sets with clearly defined common API, so that application logic can be written and maintained in one place without code replication. The assembler itself isn't a separate tool, but rather a collection of C/C++ header files, which applications need to include directly in order to use. At present, Intel SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 (32/64-bit x86 ISAs), ARMv7 NEON/NEONv2, ARMv8 AArch32 and AArch64 NEON, SVE (32/64-bit ARM ISAs), MIPS 32/64-bit r5/r6 MSA and POWER 32/64-bit VMX/VSX (little/big-endian ISAs) are mostly implemented (/w horizontal reductions) although scalar improvements, wider SIMD vectors with zeroing/merging predicates in 3/4-operand instructions are planned as extensions to current 2/3-operand SPMD-driven vertical SIMD ISA. ...

dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.

The aim of the project is a lightweight intrusion detection library for embedded devices which supports MSP430 and ARM Cortex based devices. Features include DSP/SIMD support, IoT and embedded protocols, distributed operation, event and history management, tool supported configuration and visualization. There is a Java port that supports less features.

...Release 1.1 source code and Windows executables are on the download page. For the latest release code look into the repository in 'release-1-0' branch. The SSE2 inplementation is present in 'simd.0' branch in the repository.

Ray Tracing micro-processor RTMP. Features: * Programmable pixel shaders. * SIMD 32-bit ALU. * Hardware support for Octree scene traversal. * Ray intersection cache. * Support for mutiple instances of RTMP working concurrently.

SSEPlus is a SIMD function library. It provides optimized emulation for newer SSE instructions. It also provides a rich set of high performance routines for common operations such as arithmetic, bitwise logic, and data packing and unpacking.

A data parallel scientific programming model. Compiles efficiently to different platforms like distributed memory (MPI), shared memory multi-processor (pthreads), Cell BE processor, Nvidia Cuda, SIMD vectorization (SSE, Altivec), and sequential C++ code.

Low-level processor benchmark for x86 and amd64 processors: measures exact latency and throughput for each assembly instruction, and automatically finds execution units. Special focus on SIMD (MMX, SSE) instructions.