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Balancing Scalar and Vector Execution on GPU Architectures

https://doi.org/10.1109/ipdps.2016.74

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-14122-5_8openalex-snapshot

Dynamic Detection of Uniform and Affine Vectors in GPGPU Computations

inferredcites →https://doi.org/10.1016/c2013-0-15490-6openalex-snapshot

Heterogeneous Computing with OpenCL 2.0

inferredcites →https://doi.org/10.1109/cgo.2013.6494995openalex-snapshot

Convergence and scalarization for data-parallel architectures

inferredcites →https://doi.org/10.1109/hotchips.2009.7478342openalex-snapshot

The OpenCL specification

inferredcites →https://doi.org/10.1109/hpca.2013.6522330openalex-snapshot

Power-efficient computing for compute-intensive GPGPU applications

inferredcites →https://doi.org/10.1109/iiswc.2009.5306797openalex-snapshot

Rodinia: A benchmark suite for heterogeneous computing

inferredcites →https://doi.org/10.1109/iiswc.2010.5650274openalex-snapshot

A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads

inferredcites →https://doi.org/10.1109/ipdps.2014.21openalex-snapshot

A Case for a Flexible Scalar Unit in SIMT Architecture

inferredcites →https://doi.org/10.1109/ipdps.2014.22openalex-snapshot

Scalar Waving: Improving the Efficiency of SIMD Execution on GPUs

inferredcites →https://doi.org/10.1109/ispass.2009.4919648openalex-snapshot

Analyzing CUDA workloads using a detailed GPU simulator

inferredcites →https://doi.org/10.1109/ispass.2013.6557173openalex-snapshot

Characterizing scalar opportunities in GPGPU applications

inferredcites →https://doi.org/10.1109/pact.2011.63openalex-snapshot

Divergence Analysis and Optimizations

inferredcites →https://doi.org/10.1145/1669112.1669172openalex-snapshot

McPAT

inferredcites →https://doi.org/10.1145/1772954.1772971openalex-snapshot

Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs

inferredcites →https://doi.org/10.1145/2155620.2155656openalex-snapshot

Improving GPU performance via large warps and two-level warp scheduling

inferredcites →https://doi.org/10.1145/2464996.2465022openalex-snapshot

Exploiting uniform vector instructions for GPGPU performance, energy efficiency, and opportunistic reliability enhancement

inferredcites →https://doi.org/10.1145/2485922.2485964openalex-snapshot

GPUWattch

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-36778-7_52openalex-snapshot

Authentication Model Based on JWT and Local PKI for Communication Security in Multi-agent Systems

inferred← citeshttps://doi.org/10.1016/j.jpdc.2020.10.005openalex-snapshot

Graph-Waving architecture: Efficient execution of graph applications on GPUs

inferred← citeshttps://doi.org/10.1016/j.procs.2019.01.029openalex-snapshot

Authentication and load balancing scheme based on JSON Token For Multi-Agent Systems

inferred← citeshttps://doi.org/10.1109/hpca.2018.00041openalex-snapshot

WIR: Warp Instruction Reuse to Minimize Repeated Computations in GPUs

inferred← citeshttps://doi.org/10.1109/ia351965.2020.00010openalex-snapshot

Supporting Irregularity in Throughput-Oriented Computing by SIMT-SIMD Integration

inferred← citeshttps://doi.org/10.1109/iccd63220.2024.00047openalex-snapshot

Advanced Dynamic Scalarisation for RISC-V GPGPUs

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00201openalex-snapshot

Metamorphic Shader Fusion for Testing Graphics Shader Compilers

inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.47openalex-snapshot

A Laboratory Based Course on GPU Programming: Methods, Practices, and Lessons

inferred← citeshttps://doi.org/10.1109/sc.2018.00072openalex-snapshot

PRISM: Predicting Resilience of GPU Applications Using Statistical Methods

inferred← citeshttps://doi.org/10.1109/tbcas.2018.2880012openalex-snapshot

Neuromorphic LIF Row-by-Row Multi-convolution Processor for FPGA

inferred← citeshttps://doi.org/10.1134/s0361768826700088openalex-snapshot

High-Performance DGEMM Implementation on Modern X86 CPUs

inferred← citeshttps://doi.org/10.1145/3373376.3378520openalex-snapshot

Dimensionality-Aware Redundant SIMT Instruction Elimination

inferred← citeshttps://doi.org/10.1145/3579371.3589039openalex-snapshot

R2D2: Removing ReDunDancy Utilizing Linearity of Address Generation in GPUs

inferred← citeshttps://doi.org/10.1145/3712285.3759830openalex-snapshot

RedSan: A Redundant Memory Instruction Sanitizer for GPU Programs

inferred← citeshttps://doi.org/10.1145/3760250.3762234openalex-snapshot

CHERI-SIMT: Implementing Capability Memory Protection in GPUs

inferred← citeshttps://doi.org/10.17760/d20323957openalex-snapshot

Compiler-based resilience prediction and enhancements for GPU applications

inferred← citeshttps://doi.org/10.3390/app14041565openalex-snapshot

Improving Performance of Massive Text Real-Time Classification for Document Confidentiality Management

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