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ASPLOS'23 - Session 5C - TensorIR: An Abstraction for Automatic Tensorized Program Optimization

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ACM SIGARCH

2 years ago

ASPLOS'23 - Session 5C - TensorIR: An Abstraction for Automatic Tensorized Program Optimization

ASPLOS'23 - Session 5C - TensorIR: An Abstraction for Automatic Tensorized Program Optimization

ASPLOS'23 - Session 5C - TensorIR: An Abstraction for Automatic Tensorized Program Optimization
11:13
ASPLOS'23 - Session 5C - TensorIR: An Abstraction for Automatic Tensorized Program Optimization
by ACM SIGARCH
ASPLOS'23 - Session 5C - FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks
12:09
ASPLOS'23 - Session 5C - FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks
by ACM SIGARCH
ASPLOS'23 - Session 2A - Graphene: An IR for Optimized Tensor Computations on GPUs
14:40
ASPLOS'23 - Session 2A - Graphene: An IR for Optimized Tensor Computations on GPUs
by ACM SIGARCH
ASPLOS'23 - Session 5C - TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
10:33
ASPLOS'23 - Session 5C - TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
by ACM SIGARCH
ASPLOS'23 - Session 2B - Scoped Buffered Persistency Model for GPUs
14:25
ASPLOS'23 - Session 2B - Scoped Buffered Persistency Model for GPUs
by ACM SIGARCH
ASPLOS'23 - Session 5B - Prism: Optimizing Key-Value Store for Modern Heterogeneous Storage Devices
11:35
ASPLOS'23 - Session 5B - Prism: Optimizing Key-Value Store for Modern Heterogeneous Storage Devices
by ACM SIGARCH
realistic, busy, \& productive day in my life | vlog | purdue university
11:48
realistic, busy, \& productive day in my life | vlog | purdue university
by Gouri Bellad
ASPLOS'23 - Session 9A - Pond: CXL-Based Memory Pooling Systems for Cloud Platforms
14:07
ASPLOS'23 - Session 9A - Pond: CXL-Based Memory Pooling Systems for Cloud Platforms
by ACM SIGARCH
Deformable Convolutional Networks
11:47
Deformable Convolutional Networks
by ComputerVisionFoundation Videos
ASPLOS'23 - Session 6A - Qompress: Efficient Compilation for Ququarts Exploiting Partial and Mixed R
13:00
ASPLOS'23 - Session 6A - Qompress: Efficient Compilation for Ququarts Exploiting Partial and Mixed R
by ACM SIGARCH
ASPLOS'23 - Session 7B - Protect the System Call, Protect (most of) the World with BASTION
11:46
ASPLOS'23 - Session 7B - Protect the System Call, Protect (most of) the World with BASTION
by ACM SIGARCH
ASPLOS'23 - Session 5A - Compilation Consistency Modulo Debug Information
11:42
ASPLOS'23 - Session 5A - Compilation Consistency Modulo Debug Information
by ACM SIGARCH
ASPLOS'23 - Session 3A - Junkyard Computing: Repurposing Discarded Smartphones to Minimize Carbon
12:41
ASPLOS'23 - Session 3A - Junkyard Computing: Repurposing Discarded Smartphones to Minimize Carbon
by ACM SIGARCH
ASPLOS'23 - Session 4B - Copy-on-Pin: The Missing Piece for Correct Copy-on-Write
12:52
ASPLOS'23 - Session 4B - Copy-on-Pin: The Missing Piece for Correct Copy-on-Write
by ACM SIGARCH
ASPLOS'23 - Session 2A - Coyote: A Compiler for Vectorizing Encrypted Arithmetic Circuits
14:07
ASPLOS'23 - Session 2A - Coyote: A Compiler for Vectorizing Encrypted Arithmetic Circuits
by ACM SIGARCH
ASPLOS'23 - Session 5A - Vidi: Record Replay for Reconfigurable Hardware
11:43
ASPLOS'23 - Session 5A - Vidi: Record Replay for Reconfigurable Hardware
by ACM SIGARCH
ASPLOS'23 - Session 5C - Mobius: Fine Tuning Large-scale Models on Commodity GPU Servers
12:07
ASPLOS'23 - Session 5C - Mobius: Fine Tuning Large-scale Models on Commodity GPU Servers
by ACM SIGARCH
ASPLOS'23 - Session 2B - DefT: Boosting Scalability of Deformable Convolution Operations on GPUs
14:42
ASPLOS'23 - Session 2B - DefT: Boosting Scalability of Deformable Convolution Operations on GPUs
by ACM SIGARCH
ASPLOS'23 - Session 2A - TiLT: A Time-Centric Approach for Stream Query Optimization and Paralleliza
11:40
ASPLOS'23 - Session 2A - TiLT: A Time-Centric Approach for Stream Query Optimization and Paralleliza
by ACM SIGARCH
ASPLOS'23 - Session 5C - Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacente
11:46
ASPLOS'23 - Session 5C - Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacente
by ACM SIGARCH
ASPLOS'23 - Session 1B - MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifi
11:00
ASPLOS'23 - Session 1B - MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifi
by ACM SIGARCH
ASPLOS'23 - Session 2C - BeeHive: Sub-second Elasticity for Web Services with Semi-FaaS Execution
11:33
ASPLOS'23 - Session 2C - BeeHive: Sub-second Elasticity for Web Services with Semi-FaaS Execution
by ACM SIGARCH