1.0 (file:///projects/hello_cargo) Finished dev [unoptimized + debuginfo] target(s) in 2.85 secs 这个命令会创建一个可执行文件 target/debug/hello_cargo （在 Windows 上是 targetdebughello_cargo.exe），而不是放在目前目录下。由于默认的构建方法是调试构建 建方法是调试构建 （debug build），Cargo 会将可执行文件放在名为 debug 的目录中。可以通过这个命令运行可 执行文件： $ ./target/debug/hello_cargo # 或者在 Windows 下为 .\target\debug\hello_cargo.exe Hello, world! 19/562Rust 程序设计语言 简体中文版 如果一切顺利，终端上应该会打印出 build 构建了项目，并使用 ./target/debug/hello_cargo 运行了程序，也 可以使用 cargo run 在一个命令中同时编译并运行生成的可执行文件： $ cargo run Finished dev [unoptimized + debuginfo] target(s) in 0.0 secs Running `target/debug/hello_cargo`

• Linux open-iscsi • Windows iSCSI 发起者 • 服务器端 • 必须是CurveBS原生支持的平台，因为需要curve原生接口，目前是LinuxiSCSI target服务器 • LINUX LILO • 一般用于输出内核本地块设备 • TCMU • 作为LILO支持用户态的接口 • 如何评价LILO • 输出内核块设备I/O效率高 • 不利于把复杂 不利于把复杂的存储协议代码搬进内核，例如(curve, brpc, c++, protobuf 等) • TCMU多了一层转接，配置过程复杂，业界踩的坑不够多。 • TCMU的用户态代码会受到框架约束，不够灵活。iSCSI target 服务器 • TGT(STGT) • 比较久的历史，原来叫STGT，后来改成TGT • 纯用户态，不与内核绑定 • 支持复杂的存储系统，例如ceph rbd, sheepdog, glfs • connection，在单线程里做event loop多路复用。 • 多个target时，如果挂的设备多，一旦客户端请求量大，就会忙不过来。 • 开源界有尝试修改 • 例如sheepdog的开发者提交过一个patch，但是测试效果不理想，分析 原因，event loop依然是瓶颈对TGT的性能优化 • IO是使用多个epoll 线程，充分发挥多CPU能力 • 当前策略是每个target一个epoll线程，负责Initiator发过来的I/O

reserved. TVM Overview Framework Graph Mxnet TF …. parsers Relay Graph Target-independent Relay passes Target-optimized graph Target-dependent Relay passes Intel x86 ARM CPU Nvidia GPU ARM GPU Dialect QNN passes Target-independent Relay passes Target-optimized Int8 Relay Graph Intel x86 schedule ARM CPU schedule Nvidia GPU schedule ARM GPU schedule Relay Int8 Graph Target-dependent Relay Dialect QNN passes Target-independent Relay passes Target-optimized Int8 Relay Graph Intel x86 schedule ARM CPU schedule Nvidia GPU schedule ARM GPU schedule Relay Int8 Graph Target-dependent Relay

(because the browser will display certificate mismatch warnings that block automated access to the target site). 6.1. User’s guide 35Tornado Documentation, Release 6.5.1 Applications that cannot use TLS arguments of Rule constructor: (matcher, target, [target_kwargs], [name]), the values in square brackets being optional. The default matcher is PathMatches, so (regexp, target) tuples can also be used instead instead of (PathMatches(regexp), target). A common routing target is a RequestHandler subclass, but you can also use lists of rules as a target, which create a nested routing configuration: application = web

Serialized Subgraph Library Relay Runtime (VM, Graph Runtime, Interpreter) Your Dispatcher Target Device General Devices (CPU/GPU/FPGA) Mark supported operators or subgraphs 1. Implement an operator-level WholeGraphAnnotator(ExprMutator): def __init__(self, target): super(WholeGraphAnnotator, self).__init__() self.target = target self.last_call = True def visit_call(self, if isinstance(param, relay.expr.Var): . param = subgraph_begin(param, self.target) params.append(param) new_call = relay.Call(call.op, params, call.attrs)

(because the browser will display certificate mismatch warnings that block automated access to the target site). Applications that cannot use TLS and rely on network-level access controls (for example, ReversibleRouter.reverse_url() RuleRouter RuleRouter.add_rules() RuleRouter.process_rule() RuleRouter.get_target_delegate() ReversibleRuleRouter Rule Matcher Matcher.match() Matcher.reverse() AnyMatches HostMatches arguments of Rule constructor: (matcher, target, [target_kwargs], [name]), the values in square brackets being optional. The default matcher is PathMatches, so (regexp, target) tuples can also be used instead

manner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages

manner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages

manner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages

manner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages