Nome |
# |
High-performance and time-predictable embedded computing, file e31e124e-9bf2-987f-e053-3705fe0a095a
|
1175
|
A RISC-V-based FPGA Overlay to Simplify Embedded Accelerator Deployment, file e31e124f-b62e-987f-e053-3705fe0a095a
|
301
|
A memory-centric approach to enable timing-predictability within embedded many-core accelerators, file e31e124c-1467-987f-e053-3705fe0a095a
|
292
|
Timing characterization of OpenMP4 tasking model, file e31e124c-0ef7-987f-e053-3705fe0a095a
|
282
|
A Taxonomy of Modern GPGPU Programming Methods: On the Benefits of a Unified Specification, file e31e124f-8c71-987f-e053-3705fe0a095a
|
163
|
A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores, file e31e124f-8c72-987f-e053-3705fe0a095a
|
65
|
GPU Acceleration for simulating massively parallel many-core platforms, file e31e124d-8b47-987f-e053-3705fe0a095a
|
45
|
Unleashing Fine-Grained Parallelism on Embedded Many-Core Accelerators with Lightweight OpenMP Tasking, file e31e124d-8b48-987f-e053-3705fe0a095a
|
45
|
P-SOCRATES: A parallel software framework for time-critical many-core systems, file e31e124c-99a5-987f-e053-3705fe0a095a
|
27
|
Reconciling QoS and Concurrency in NVIDIA GPUs via Warp-Level Scheduling, file ba44950c-891f-4e13-9fa4-e8a83fb3dda0
|
25
|
The Quest for Energy-Efficient I$ Design in Ultra-Low-Power Clustered Many-Cores, file e31e124d-8d80-987f-e053-3705fe0a095a
|
16
|
Evaluating Controlled Memory Request Injection for Efficient Bandwidth Utilization and Predictable Execution in Heterogeneous SoCs, file 6e06f73f-073a-4f5d-8883-ceb1678e0b3d
|
15
|
A Transprecision Floating-Point Platform for Ultra-Low Power Computing, file 340730e4-9d24-4cc7-9a08-f0a2673be565
|
14
|
P-SOCRATES: A parallel software framework for time-critical many-core systems, file e31e124f-c8d9-987f-e053-3705fe0a095a
|
13
|
Reconciling QoS and Concurrency in NVIDIA GPUs via Warp-Level Scheduling, file bce400dd-1060-4942-98c9-e9c4dcb98e58
|
12
|
Efficient virtual memory sharing via on-accelerator page table walking in heterogeneous embedded SoCs, file 69016056-94b0-44f8-b611-b47e6a1107b6
|
10
|
Introduction, file e31e124f-385f-987f-e053-3705fe0a095a
|
9
|
A software stack for next-generation automotive systems on many-core heterogeneous platforms, file f0e7025f-5ab1-4a0d-b51c-77d0416cfe88
|
9
|
P-SOCRATES: A parallel software framework for time-critical many-core systems, file e31e124b-90a2-987f-e053-3705fe0a095a
|
8
|
Combining PREM compilation and ILP scheduling for high-performance and predictable MPSoC execution, file b774a7c9-58c6-4097-89e5-0dada5837ed5
|
7
|
Preface, file e31e124f-6081-987f-e053-3705fe0a095a
|
6
|
Unmanned vehicles in smart farming: A survey and a glance at future horizons, file 08dea15d-06be-44a8-b2ae-94f854ba81e0
|
4
|
Understanding and Mitigating Memory Interference in FPGA-based HeSoCs, file b3588812-e6e9-4784-a048-1922355301a2
|
4
|
Understanding and Mitigating Memory Interference in FPGA-based HeSoCs, file e31e1250-a1a1-987f-e053-3705fe0a095a
|
4
|
HePREM: A Predictable Execution Model for GPU-based Heterogeneous SoCs, file 5a9274c7-f433-422c-b8d1-8d648955cd36
|
3
|
A Software Stack for Next-Generation Automotive Systems on Many-Core Heterogeneous Platforms, file e31e124c-174a-987f-e053-3705fe0a095a
|
3
|
Exploring Shared Virtual Memory for FPGA Accelerators with a Configurable IOMMU, file e31e124d-8b46-987f-e053-3705fe0a095a
|
3
|
An FPGA Overlay for Efficient Real-Time Localization in 1/10th Scale Autonomous Vehicles, file e31e1250-a905-987f-e053-3705fe0a095a
|
3
|
Combining PREM compilation and static scheduling for high-performance and predictable MPSoC execution, file 836991ef-d5e4-43d0-92cb-ac0414dfadf1
|
2
|
On the accuracy of near-optimal CPU-based path planning for UAVs, file a69cd135-9e1b-452f-ae4c-10900329da83
|
2
|
An FPGA Overlay for Efficient Real-Time Localization in 1/10th Scale Autonomous Vehicles, file bcb32f06-152b-4f46-9d68-5924caa1f4b6
|
2
|
Supporting OpenMP on a multi-cluster embedded MPSoC, file e31e124d-8b57-987f-e053-3705fe0a095a
|
2
|
On the effectiveness of OpenMP teams for cluster-based many-core accelerators, file e31e124d-8bbd-987f-e053-3705fe0a095a
|
2
|
Taming Data Caches for Predictable Execution on GPU-based SoCs, file e31e124d-bc4f-987f-e053-3705fe0a095a
|
2
|
Unmanned vehicles in smart farming: A survey and a glance at future horizons, file e31e1250-8951-987f-e053-3705fe0a095a
|
2
|
HERO: Heterogeneous Embedded Research Platform for Exploring RISC-V Manycore Accelerators on FPGA, file 1ffa080f-249b-48d7-b367-9bef4933d563
|
1
|
Scalable and Efficient Virtual Memory Sharing in Heterogeneous SoCs with TLB Prefetching and MMU-Aware DMA Engine, file 476791bf-ebcf-4cfb-9f0c-94ff39da8d2a
|
1
|
GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model, file 4f9cf813-42e7-45fb-8f26-be5e43f9550f
|
1
|
Exploring Single Source Shortest Path Parallelization on Shared Memory Accelerators, file 51b94b00-fe42-45ef-9d13-e723e29df2ac
|
1
|
A software stack for next-generation automotive systems on many-core heterogeneous platforms, file 7988b840-f271-4277-bd99-1b8e1dc2f141
|
1
|
Exploring Single Source Shortest Path Parallelization on Shared Memory Accelerators, file b95e48a2-caf4-434e-b0ca-c20a6f672222
|
1
|
An energy-efficient parallel algorithm for real-time near-optimal UAV path planning, file d7a42649-19f6-4b1e-95b2-e0d6cc13e63d
|
1
|
Runtime Support for Multiple Offload-Based Programming Models on Clustered Manycore Accelerators, file e31e124d-8aef-987f-e053-3705fe0a095a
|
1
|
The Quest for Energy-Efficient I$ Design in Ultra-Low-Power Clustered Many-Cores, file e31e124d-8af1-987f-e053-3705fe0a095a
|
1
|
He-P2012: Performance and Energy Exploration of Architecturally Heterogeneous Many-Cores, file e31e124d-8af3-987f-e053-3705fe0a095a
|
1
|
Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting, file e31e124d-8b49-987f-e053-3705fe0a095a
|
1
|
Variation-tolerant OpenMP Tasking on Tightly-coupled Processor ClustersDesign, Automation & Test in Europe Conference & Exhibition (DATE), 2013, file e31e124d-8b4f-987f-e053-3705fe0a095a
|
1
|
Exploring programming model-driven QoS support for NoC-based platforms, file e31e124d-8bb7-987f-e053-3705fe0a095a
|
1
|
Vertical stealing: robust, locality-aware do-all workload distribution for 3D MPSoCs, file e31e124d-8bba-987f-e053-3705fe0a095a
|
1
|
A tightly-coupled hardware controller to improve scalability and programmability of shared-memory heterogeneous clusters, file e31e124d-8bc0-987f-e053-3705fe0a095a
|
1
|
OpenMP-based Synergistic Parallelization and HW Acceleration for On-Chip Shared-Memory Clusters, file e31e124d-8d84-987f-e053-3705fe0a095a
|
1
|
Scalable and Efficient Virtual Memory Sharing in Heterogeneous SoCs with TLB Prefetching and MMU-Aware DMA Engine, file e31e124d-baa9-987f-e053-3705fe0a095a
|
1
|
Hero: An open-source research platform for HW/SW exploration of heterogeneous manycore systems, file e31e124d-baab-987f-e053-3705fe0a095a
|
1
|
Energy-quality scalable integrated circuits and systems: Continuing energy scaling in the twilight of Moore's law, file e31e124d-baae-987f-e053-3705fe0a095a
|
1
|
Design and Evaluation of SmallFloat SIMD extensions to the RISC-V ISA, file e31e124d-bab0-987f-e053-3705fe0a095a
|
1
|
Unleashing Fine-Grained Parallelism on Embedded Many-Core Accelerators with Lightweight OpenMP Tasking, file e31e124f-1f87-987f-e053-3705fe0a095a
|
1
|
GPU Acceleration for simulating massively parallel many-core platforms, file e31e124f-1f8b-987f-e053-3705fe0a095a
|
1
|
Totale |
2599 |